Benchmark Almanac

Global PIQA

Gemini 3.1 Pro 93.9% leads since February 2026
Gemini 3.1 Pro 93.9% leads since February 2026
Fading

Models pick the correct solution to everyday commonsense prompts in over 100 languages, many about local foods and customs. Scoring is accuracy.

The license forbids training AI systems on it or on synthetic data seeded from it. The record covers the non-parallel split of over 100 languages, released in 2025-10. A parallel split of culturally agnostic questions in 131 language varieties followed in 2026-04, and its scores are a different test.

Released
October 2025
Kind
Reasoning in many languages
Level
Everyday
Scored
Checked automatically
Answers
Multiple choice
Tasks
All public
Strongest model tested
GPT-5.4 #27 on the capability index
Last in a launch post
June 2026, dropped after it saturated
Last model added
June 2026
Scores refreshed
November 12th, 2026

In the authors’ words

To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we present Global PIQA, a participatory commonsense reasoning benchmark for over 100 languages, constructed by hand by over 350 researchers from over 65 countries around the world. The 141 language varieties in Global PIQA cover five continents, 19 language families, and 24 writing systems. In the non-parallel split of Global PIQA, over 50% of examples reference local foods, customs, traditions, or other culturally-specific elements. In the parallel split, we translate more "culturally agnostic" commonsense reasoning questions into 131 language varieties, for direct cross-lingual comparisons. In both splits, all examples have been verified by native speakers of the languages. We find that state-of-the-art LLMs perform well on Global PIQA in aggregate, but they exhibit weaker performance in lower-resource languages (e.g. up to a 68% accuracy gap between languages in the parallel split). Global PIQA highlights that in many languages and cultures, everyday knowledge remains an area for improvement in LLMs, alongside more widely-discussed capabilities such as complex reasoning and expert knowledge. Beyond its uses for LLM evaluation, Global PIQA provides a glimpse into the wide diversity of cultures in which human language is embedded.

Abstract of Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures (arXiv:2510.24081, CC0)
177
Entries on its own leaderboard, 44 models we track
14
Launch posts list it, from 3 labs
1
System card reports it, from 1 lab

Gemini 3.1 Pro leads with 93.9% among models released by April 2026

Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.

Gemini 3.1 Pro leads with 93.9%, claims included

Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.

The newest model with a score here came out in April 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

177 entries. Scroll sideways for the rest.

  1. 93.9 Gemini 3.1 Pro
  2. 92.0 Gemini 3.1 Flash-Lite
  3. 91.3 GPT-5.4
  4. 90.2 Claude Sonnet 4.6
  5. 89.6 GPT-5.4 Mini
  6. 85.4 GPT-5.4 Nano
  7. 84.9 Gemma 4 31B IT
  8. 81.7 Gemma 3 27B
  9. 81.2 CohereLabs/c4ai-command-a-03-2025
  10. 79.8 Gemma 4 E4B
  11. 79.6 aisingapore/Llama-SEA-LION-v3-70B-IT
  12. 78.8 Sahabat-AI/Llama-Sahabat-AI-v2-70B-IT
  13. 78.5 Qwen3.5-27B
  14. 78.3 Qwen2.5-72B
  15. 78.1 google/gemma-3-12b-it
  16. 77.8 gpt-oss-20b
  17. 77.1 Qwen3-14B
  18. 76.2 meta-llama/Llama-3.1-70B-Instruct
  19. 76.0 Qwen3-32B
  20. 75.2 Qwen/Qwen2.5-32B-Instruct
  21. 74.3 Apertus 70B
  22. 74.2 Phi-4
  23. 74.0 Qwen3-8B
  24. 73.9 aisingapore/Gemma-SEA-LION-v3-9B-IT
  25. 73.5 Qwen3.5-9B
  26. 73.4 google/gemma-2-27b-it
  27. 73.4 Qwen/Qwen2.5-14B-Instruct
  28. 72.2 DeepSeek-R1-Distill-Qwen-32B
  29. 72.1 Gemma 4 E2B
  30. 71.0 Aya Expanse 32B
  31. 70.7 DeepSeek-R1-Distill-Qwen-14B
  32. 70.5 Qwen3-4B
  33. 69.5 gpt-oss-120b
  34. 68.9 c4ai-command-r-08-2024
  35. 68.6 sail/Sailor2-20B-Chat
  36. 68.3 google/gemma-2-9b-it
  37. 67.6 google/gemma-3-4b-it
  38. 67.3 google/gemma-3-27b-pt (base)
  39. 67.0 Apertus 8B Instruct
  40. 66.8 aisingapore/Llama-SEA-LION-v3-8B-IT
  41. 66.5 Qwen/Qwen2.5-7B-Instruct
  42. 65.8 CohereLabs/c4ai-command-r-plus-08-2024
  43. 65.3 swiss-ai/Apertus-70B-2509 (base)
  44. 64.8 google/gemma-4-E4B (base)
  45. 64.2 google/gemma-3-12b-pt (base)
  46. 64.0 meta-llama/Llama-3.1-70B (base)
  47. 63.9 Aya Expanse 8B
  48. 63.4 google/gemma-2-27b (base)
  49. 63.2 LumiOpen/Llama-Poro-2-8B-Instruct
  50. 62.8 ilsp/Llama-Krikri-8B-Instruct
  51. 62.6 Qwen/Qwen3.5-9B-Base (base)
  52. 62.5 Tower-Babel/Babel-83B-Chat
  53. 62.5 LumiOpen/Llama-Poro-2-70B-base (base)
  54. 62.4 EXAONE-3.5-32B-Instruct
  55. 62.1 Qwen3.5-4B
  56. 61.9 swiss-ai/Apertus-8B-2509 (base)
  57. 61.8 sail/Sailor2-8B-Chat
  58. 61.7 aisingapore/Gemma-SEA-LION-v3-9B (base)
  59. 61.0 meta-llama/Llama-3.1-8B-Instruct
  60. 60.8 Qwen3-1.7B
  61. 60.7 EXAONE-3.5-7.8B-Instruct
  62. 60.5 google/gemma-2-9b (base)
  63. 60.2 google/gemma-4-E2B (base)
  64. 60.2 Qwen/Qwen2.5-72B (base)
  65. 60.2 Qwen/Qwen2.5-3B-Instruct
  66. 60.1 kakaocorp/kanana-1.5-8b-instruct-2505
  67. 60.1 utter-project/EuroLLM-9B-Instruct
  68. 59.5 phi-3-medium 14B
  69. 59.5 Qwen/Qwen3.5-4B-Base (base)
  70. 59.5 Tiny Aya Global
  71. 59.0 Command R7B
  72. 58.9 Qwen3.5-2B
  73. 58.8 google/gemma-3-4b-pt (base)
  74. 58.8 SeaLLMs/SeaLLMs-v3-7B-Chat
  75. 58.5 microsoft/Phi-4-mini-instruct
  76. 58.5 Tower-Babel/Babel-9B-Chat
  77. 58.4 Gemma 2 2B IT
  78. 58.0 aisingapore/Llama-SEA-LION-v3-8B (base)
  79. 58.0 CohereLabs/tiny-aya-base (base)
  80. 57.7 Qwen/Qwen2.5-32B (base)
  81. 56.9 microsoft/Phi-3.5-mini-instruct
  82. 56.9 meta-llama/Llama-3.1-8B (base)
  83. 56.9 utter-project/EuroLLM-9B (base)
  84. 56.4 Qwen/Qwen2.5-14B (base)
  85. 56.4 sail/Sailor2-20B (base)
  86. 56.2 mistralai/Mixtral-8x7B-v0.1 (base)
  87. 56.0 BSC-LT/salamandra-7b (base)
  88. 55.5 DeepSeek-R1-Distill-Qwen-7B
  89. 55.2 phi-3-mini 3.8B
  90. 54.7 google/gemma-3-1b-pt (base)
  91. 54.7 Tower-Babel/Babel-9B (base)
  92. 54.6 google/gemma-3-1b-it
  93. 54.5 mistralai/Mistral-7B-Instruct-v0.3
  94. 54.5 mistralai/Mistral-Small-Instruct-2409
  95. 54.5 Qwen/Qwen3.5-2B-Base (base)
  96. 54.3 LumiOpen/Llama-Poro-2-8B-base (base)
  97. 54.0 ilsp/Llama-Krikri-8B-Base (base)
  98. 54.0 LumiOpen/Viking-33B (base)
  99. 53.9 Qwen3-0.6B
  100. 53.8 Qwen/Qwen2.5-1.5B-Instruct
  101. 53.6 meta-llama/Llama-3.2-3B (base)
  102. 53.6 tiiuae/falcon-40b (base)
  103. 53.6 Mistral-7B-Instruct-v0.1
  104. 53.6 Qwen/Qwen2.5-7B (base)
  105. 53.5 facebook/xglm-4.5B (base)
  106. 53.4 SeaLLMs/SeaLLMs-v3-7B (base)
  107. 53.4 Unbabel/TowerBase-13B-v0.1 (base)
  108. 53.3 mistralai/Mistral-7B-v0.1 (base)
  109. 53.3 bertin-project/Gromenauer-7B (base)
  110. 53.3 meta-llama/Llama-3.2-1B-Instruct
  111. 53.0 BSC-LT/salamandra-2b (base)
  112. 52.9 sail/Sailor2-8B (base)
  113. 52.6 Unbabel/TowerInstruct-13B-v0.1
  114. 52.6 LumiOpen/Viking-13B (base)
  115. 52.5 Qwen3.5-0.8B
  116. 52.4 bigscience/bloom-7b1 (base)
  117. 52.3 Unbabel/TowerInstruct-7B-v0.1
  118. 52.1 CraneAILabs/swahili-gemma-1b (base)
  119. 52.0 Unbabel/TowerBase-7B-v0.1 (base)
  120. 51.8 Qwen/Qwen3.5-0.8B-Base (base)
  121. 51.7 Qwen/Qwen2.5-3B (base)
  122. 51.7 CraneAILabs/ganda-gemma-1b (base)
  123. 51.7 ilsp/Meltemi-7B-v1.5 (base)
  124. 51.6 bigscience/bloom-3b (base)
  125. 51.6 SeaLLMs/SeaLLMs-v3-1.5B-Chat
  126. 51.5 LGAI-EXAONE/EXAONE-4.0-1.2B
  127. 51.2 meta-llama/Llama-3.2-3B-Instruct
  128. 51.2 LumiOpen/Viking-7B (base)
  129. 51.1 EXAONE 4.0 32B
  130. 51.0 facebook/xglm-2.9B (base)
  131. 50.9 bigscience/bloom-1b7 (base)
  132. 50.8 facebook/xglm-7.5B (base)
  133. 50.7 kakaocorp/kanana-1.5-8b-base (base)
  134. 50.3 facebook/xglm-1.7B (base)
  135. 50.3 Yellow-AI-NLP/komodo-7b-base (base)
  136. 50.0 bigscience/bloom-1b1 (base)
  137. 49.9 vilm/vinallama-7b-chat
  138. 49.9 Qwen/Qwen2.5-1.5B (base)
  139. 49.8 tiiuae/falcon-7b (base)
  140. 49.8 speakleash/Bielik-4.5B-v3 (base)
  141. 49.8 google/gemma-3-270m (base)
  142. 49.7 bigscience/bloom-560m (base)
  143. 49.6 Qwen/Qwen2.5-0.5B-Instruct
  144. 49.6 AI-Sweden-Models/gpt-sw3-6.7b-v2 (base)
  145. 49.6 SeaLLMs/SeaLLMs-v3-1.5B (base)
  146. 49.4 Gen2B/HyGPT-10b (base)
  147. 49.2 facebook/xglm-564M (base)
  148. 49.1 AI-Sweden-Models/gpt-sw3-1.3b (base)
  149. 49.1 vilm/vinallama-7b (base)
  150. 49.1 speakleash/Bielik-1.5B-v3 (base)
  151. 49.0 naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B
  152. 48.8 universitytehran/PersianMind-v1.0 (base)
  153. 48.8 sapienzanlp/Minerva-7B-base-v1.0 (base)
  154. 48.8 croissantllm/CroissantLLMBase (base)
  155. 48.7 sail/Sailor2-1B (base)
  156. 48.5 vilm/vinallama-2.7b (base)
  157. 48.0 TucanoBR/Tucano-2b4 (base)
  158. 48.0 TucanoBR/Tucano-1b1 (base)
  159. 47.9 sapienzanlp/Minerva-3B-base-v1.0 (base)
  160. 47.7 sapienzanlp/Minerva-1B-base-v1.0 (base)
  161. 47.5 sail/Sailor2-1B-Chat
  162. 47.4 lelapa/InkubaLM-0.4B (base)
  163. 47.3 Azurro/APT3-1B-Base (base)
  164. 46.5 ilsp/Meltemi-7B-Instruct-v1.5
  165. 27.9 DeepSeek-R1-Distill-Qwen-1.5B
  166. 21.0 AI-Sweden-Models/gpt-sw3-20b-instruct
  167. 19.4 BSC-LT/salamandra-7b-instruct
  168. 19.1 BSC-LT/salamandra-2b-instruct
  169. 15.8 google/gemma-3-270m-it
  170. 13.1 croissantllm/CroissantLLMChat-v0.1
  171. 12.3 sapienzanlp/Minerva-7B-instruct-v1.0
  172. 8.08 TucanoBR/Tucano-1b1-Instruct
  173. 5.79 AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct
  174. 1.26 LumiOpen/Llama-Poro-2-70B-Instruct
  175. 0.62 AI-Sweden-Models/gpt-sw3-1.3b-instruct
  176. 0.13 Sarvam-M
  177. 0.10 TucanoBR/Tucano-2b4-Instruct
  1. 1 Gemini 3.1 Pro exact_match; instruct 93.9%
  2. 2 Gemini 3.1 Flash-Lite exact_match; instruct 92%
  3. 3 GPT-5.4 exact_match; instruct 91.3%
  4. 4 Claude Sonnet 4.6 exact_match; instruct 90.2%
  5. 5 GPT-5.4 Mini exact_match; instruct 89.6%
  6. 6 GPT-5.4 Nano exact_match; instruct 85.4%
  7. 7 Gemma 4 31B IT exact_match,strict_match; instruct 84.9%
  8. 8 Gemma 3 27B exact_match,strict_match; instruct 81.7%
  9. 9 CohereLabs/c4ai-command-a-03-2025 exact_match,strict_match; instruct 81.2%
  10. 10 Gemma 4 E4B exact_match,strict_match; instruct 79.8%
  11. 11 aisingapore/Llama-SEA-LION-v3-70B-IT exact_match,strict_match; instruct 79.6%
  12. 12 Sahabat-AI/Llama-Sahabat-AI-v2-70B-IT exact_match,strict_match; instruct 78.8%
  13. 13 Qwen3.5-27B exact_match,strict_match; instruct 78.5%
  14. 14 Qwen2.5-72B exact_match,strict_match; instruct 78.3%
  15. 15 google/gemma-3-12b-it exact_match,strict_match; instruct 78.1%
  16. 16 gpt-oss-20b exact_match,strict_match; instruct 77.8%
  17. 17 Qwen3-14B exact_match,strict_match; instruct 77.1%
  18. 18 meta-llama/Llama-3.1-70B-Instruct exact_match,strict_match; instruct 76.2%
  19. 19 Qwen3-32B exact_match,strict_match; instruct 76%
  20. 20 Qwen/Qwen2.5-32B-Instruct exact_match,strict_match; instruct 75.2%
  21. 21 Apertus 70B exact_match,strict_match; instruct 74.3%
  22. 22 Phi-4 exact_match,strict_match; instruct 74.2%
  23. 23 Qwen3-8B exact_match,strict_match; instruct 74%
  24. 24 aisingapore/Gemma-SEA-LION-v3-9B-IT exact_match,strict_match; instruct 73.9%
  25. 25 Qwen3.5-9B exact_match,strict_match; instruct 73.5%
  26. 26 google/gemma-2-27b-it exact_match,strict_match; instruct 73.4%
  27. 27 Qwen/Qwen2.5-14B-Instruct exact_match,strict_match; instruct 73.4%
  28. 28 DeepSeek-R1-Distill-Qwen-32B exact_match,strict_match; instruct 72.2%
  29. 29 Gemma 4 E2B exact_match,strict_match; instruct 72.1%
  30. 30 Aya Expanse 32B exact_match,strict_match; instruct 71%
  31. 31 DeepSeek-R1-Distill-Qwen-14B exact_match,strict_match; instruct 70.7%
  32. 32 Qwen3-4B exact_match,strict_match; instruct 70.5%
  33. 33 gpt-oss-120b exact_match,strict_match; instruct 69.5%
  34. 34 c4ai-command-r-08-2024 exact_match,strict_match; instruct 68.9%
  35. 35 sail/Sailor2-20B-Chat exact_match,strict_match; instruct 68.6%
  36. 36 google/gemma-2-9b-it exact_match,strict_match; instruct 68.3%
  37. 37 google/gemma-3-4b-it exact_match,strict_match; instruct 67.6%
  38. 38 google/gemma-3-27b-pt (base) acc,none; base 67.3%
  39. 39 Apertus 8B Instruct exact_match,strict_match; instruct 67%
  40. 40 aisingapore/Llama-SEA-LION-v3-8B-IT exact_match,strict_match; instruct 66.8%
  41. 41 Qwen/Qwen2.5-7B-Instruct exact_match,strict_match; instruct 66.5%
  42. 42 CohereLabs/c4ai-command-r-plus-08-2024 exact_match,strict_match; instruct 65.8%
  43. 43 swiss-ai/Apertus-70B-2509 (base) acc,none; base 65.3%
  44. 44 google/gemma-4-E4B (base) acc,none; base 64.8%
  45. 45 google/gemma-3-12b-pt (base) acc,none; base 64.2%
  46. 46 meta-llama/Llama-3.1-70B (base) acc,none; base 64%
  47. 47 Aya Expanse 8B exact_match,strict_match; instruct 63.9%
  48. 48 google/gemma-2-27b (base) acc,none; base 63.4%
  49. 49 LumiOpen/Llama-Poro-2-8B-Instruct exact_match,strict_match; instruct 63.2%
  50. 50 ilsp/Llama-Krikri-8B-Instruct exact_match,strict_match; instruct 62.8%
  51. 51 Qwen/Qwen3.5-9B-Base (base) acc,none; base 62.6%
  52. 52 Tower-Babel/Babel-83B-Chat exact_match,strict_match; instruct 62.5%
  53. 53 LumiOpen/Llama-Poro-2-70B-base (base) acc,none; base 62.5%
  54. 54 EXAONE-3.5-32B-Instruct exact_match,strict_match; instruct 62.4%
  55. 55 Qwen3.5-4B exact_match,strict_match; instruct 62.1%
  56. 56 swiss-ai/Apertus-8B-2509 (base) acc,none; base 61.9%
  57. 57 sail/Sailor2-8B-Chat exact_match,strict_match; instruct 61.8%
  58. 58 aisingapore/Gemma-SEA-LION-v3-9B (base) acc,none; base 61.7%
  59. 59 meta-llama/Llama-3.1-8B-Instruct exact_match,strict_match; instruct 61%
  60. 60 Qwen3-1.7B exact_match,strict_match; instruct 60.8%
  61. 61 EXAONE-3.5-7.8B-Instruct exact_match,strict_match; instruct 60.7%
  62. 62 google/gemma-2-9b (base) acc,none; base 60.5%
  63. 63 google/gemma-4-E2B (base) acc,none; base 60.2%
  64. 64 Qwen/Qwen2.5-72B (base) acc,none; base 60.2%
  65. 65 Qwen/Qwen2.5-3B-Instruct exact_match,strict_match; instruct 60.2%
  66. 66 kakaocorp/kanana-1.5-8b-instruct-2505 exact_match,strict_match; instruct 60.1%
  67. 67 utter-project/EuroLLM-9B-Instruct exact_match,strict_match; instruct 60.1%
  68. 68 phi-3-medium 14B exact_match,strict_match; instruct 59.5%
  69. 69 Qwen/Qwen3.5-4B-Base (base) acc,none; base 59.5%
  70. 70 Tiny Aya Global exact_match,strict_match; instruct 59.5%
  71. 71 Command R7B exact_match,strict_match; instruct 59%
  72. 72 Qwen3.5-2B exact_match,strict_match; instruct 58.9%
  73. 73 google/gemma-3-4b-pt (base) acc,none; base 58.8%
  74. 74 SeaLLMs/SeaLLMs-v3-7B-Chat exact_match,strict_match; instruct 58.8%
  75. 75 microsoft/Phi-4-mini-instruct exact_match,strict_match; instruct 58.5%
  76. 76 Tower-Babel/Babel-9B-Chat exact_match,strict_match; instruct 58.5%
  77. 77 Gemma 2 2B IT exact_match,strict_match; instruct 58.4%
  78. 78 aisingapore/Llama-SEA-LION-v3-8B (base) acc,none; base 58%
  79. 79 CohereLabs/tiny-aya-base (base) acc,none; base 58%
  80. 80 Qwen/Qwen2.5-32B (base) acc,none; base 57.7%
  81. 81 microsoft/Phi-3.5-mini-instruct exact_match,strict_match; instruct 56.9%
  82. 82 meta-llama/Llama-3.1-8B (base) acc,none; base 56.9%
  83. 83 utter-project/EuroLLM-9B (base) acc,none; base 56.9%
  84. 84 Qwen/Qwen2.5-14B (base) acc,none; base 56.4%
  85. 85 sail/Sailor2-20B (base) acc,none; base 56.4%
  86. 86 mistralai/Mixtral-8x7B-v0.1 (base) acc,none; base 56.2%
  87. 87 BSC-LT/salamandra-7b (base) acc,none; base 56%
  88. 88 DeepSeek-R1-Distill-Qwen-7B exact_match,strict_match; instruct 55.5%
  89. 89 phi-3-mini 3.8B exact_match,strict_match; instruct 55.2%
  90. 90 google/gemma-3-1b-pt (base) acc,none; base 54.7%
  91. 91 Tower-Babel/Babel-9B (base) acc,none; base 54.7%
  92. 92 google/gemma-3-1b-it exact_match,strict_match; instruct 54.6%
  93. 93 mistralai/Mistral-7B-Instruct-v0.3 exact_match,strict_match; instruct 54.5%
  94. 94 mistralai/Mistral-Small-Instruct-2409 exact_match,strict_match; instruct 54.5%
  95. 95 Qwen/Qwen3.5-2B-Base (base) acc,none; base 54.5%
  96. 96 LumiOpen/Llama-Poro-2-8B-base (base) acc,none; base 54.3%
  97. 97 ilsp/Llama-Krikri-8B-Base (base) acc,none; base 54%
  98. 98 LumiOpen/Viking-33B (base) acc,none; base 54%
  99. 99 Qwen3-0.6B exact_match,strict_match; instruct 53.9%
  100. 100 Qwen/Qwen2.5-1.5B-Instruct exact_match,strict_match; instruct 53.8%
  101. 101 meta-llama/Llama-3.2-3B (base) acc,none; base 53.6%
  102. 102 tiiuae/falcon-40b (base) acc,none; base 53.6%
  103. 103 Mistral-7B-Instruct-v0.1 exact_match,strict_match; instruct 53.6%
  104. 104 Qwen/Qwen2.5-7B (base) acc,none; base 53.6%
  105. 105 facebook/xglm-4.5B (base) acc,none; base 53.5%
  106. 106 SeaLLMs/SeaLLMs-v3-7B (base) acc,none; base 53.4%
  107. 107 Unbabel/TowerBase-13B-v0.1 (base) acc,none; base 53.4%
  108. 108 mistralai/Mistral-7B-v0.1 (base) acc,none; base 53.3%
  109. 109 bertin-project/Gromenauer-7B (base) acc,none; base 53.3%
  110. 110 meta-llama/Llama-3.2-1B-Instruct exact_match,strict_match; instruct 53.3%
  111. 111 BSC-LT/salamandra-2b (base) acc,none; base 53%
  112. 112 sail/Sailor2-8B (base) acc,none; base 52.9%
  113. 113 Unbabel/TowerInstruct-13B-v0.1 exact_match,strict_match; instruct 52.6%
  114. 114 LumiOpen/Viking-13B (base) acc,none; base 52.6%
  115. 115 Qwen3.5-0.8B exact_match,strict_match; instruct 52.5%
  116. 116 bigscience/bloom-7b1 (base) acc,none; base 52.4%
  117. 117 Unbabel/TowerInstruct-7B-v0.1 exact_match,strict_match; instruct 52.3%
  118. 118 CraneAILabs/swahili-gemma-1b (base) acc,none; base 52.1%
  119. 119 Unbabel/TowerBase-7B-v0.1 (base) acc,none; base 52%
  120. 120 Qwen/Qwen3.5-0.8B-Base (base) acc,none; base 51.8%
  121. 121 Qwen/Qwen2.5-3B (base) acc,none; base 51.7%
  122. 122 CraneAILabs/ganda-gemma-1b (base) acc,none; base 51.7%
  123. 123 ilsp/Meltemi-7B-v1.5 (base) acc,none; base 51.7%
  124. 124 bigscience/bloom-3b (base) acc,none; base 51.6%
  125. 125 SeaLLMs/SeaLLMs-v3-1.5B-Chat exact_match,strict_match; instruct 51.6%
  126. 126 LGAI-EXAONE/EXAONE-4.0-1.2B exact_match,strict_match; instruct 51.5%
  127. 127 meta-llama/Llama-3.2-3B-Instruct exact_match,strict_match; instruct 51.2%
  128. 128 LumiOpen/Viking-7B (base) acc,none; base 51.2%
  129. 129 EXAONE 4.0 32B exact_match,strict_match; instruct 51.1%
  130. 130 facebook/xglm-2.9B (base) acc,none; base 51%
  131. 131 bigscience/bloom-1b7 (base) acc,none; base 50.9%
  132. 132 facebook/xglm-7.5B (base) acc,none; base 50.8%
  133. 133 kakaocorp/kanana-1.5-8b-base (base) acc,none; base 50.7%
  134. 134 facebook/xglm-1.7B (base) acc,none; base 50.3%
  135. 135 Yellow-AI-NLP/komodo-7b-base (base) acc,none; base 50.3%
  136. 136 bigscience/bloom-1b1 (base) acc,none; base 50%
  137. 137 vilm/vinallama-7b-chat exact_match,strict_match; instruct 49.9%
  138. 138 Qwen/Qwen2.5-1.5B (base) acc,none; base 49.9%
  139. 139 tiiuae/falcon-7b (base) acc,none; base 49.8%
  140. 140 speakleash/Bielik-4.5B-v3 (base) acc,none; base 49.8%
  141. 141 google/gemma-3-270m (base) acc,none; base 49.8%
  142. 142 bigscience/bloom-560m (base) acc,none; base 49.7%
  143. 143 Qwen/Qwen2.5-0.5B-Instruct exact_match,strict_match; instruct 49.6%
  144. 144 AI-Sweden-Models/gpt-sw3-6.7b-v2 (base) acc,none; base 49.6%
  145. 145 SeaLLMs/SeaLLMs-v3-1.5B (base) acc,none; base 49.6%
  146. 146 Gen2B/HyGPT-10b (base) acc,none; base 49.4%
  147. 147 facebook/xglm-564M (base) acc,none; base 49.2%
  148. 148 AI-Sweden-Models/gpt-sw3-1.3b (base) acc,none; base 49.1%
  149. 149 vilm/vinallama-7b (base) acc,none; base 49.1%
  150. 150 speakleash/Bielik-1.5B-v3 (base) acc,none; base 49.1%
  151. 151 naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B exact_match,strict_match; instruct 49%
  152. 152 universitytehran/PersianMind-v1.0 (base) acc,none; base 48.8%
  153. 153 sapienzanlp/Minerva-7B-base-v1.0 (base) acc,none; base 48.8%
  154. 154 croissantllm/CroissantLLMBase (base) acc,none; base 48.8%
  155. 155 sail/Sailor2-1B (base) acc,none; base 48.7%
  156. 156 vilm/vinallama-2.7b (base) acc,none; base 48.5%
  157. 157 TucanoBR/Tucano-2b4 (base) acc,none; base 48%
  158. 158 TucanoBR/Tucano-1b1 (base) acc,none; base 48%
  159. 159 sapienzanlp/Minerva-3B-base-v1.0 (base) acc,none; base 47.9%
  160. 160 sapienzanlp/Minerva-1B-base-v1.0 (base) acc,none; base 47.7%
  161. 161 sail/Sailor2-1B-Chat exact_match,strict_match; instruct 47.5%
  162. 162 lelapa/InkubaLM-0.4B (base) acc,none; base 47.4%
  163. 163 Azurro/APT3-1B-Base (base) acc,none; base 47.3%
  164. 164 ilsp/Meltemi-7B-Instruct-v1.5 exact_match,strict_match; instruct 46.5%
  165. 165 DeepSeek-R1-Distill-Qwen-1.5B exact_match,strict_match; instruct 27.9%
  166. 166 AI-Sweden-Models/gpt-sw3-20b-instruct exact_match,strict_match; instruct 21%
  167. 167 BSC-LT/salamandra-7b-instruct exact_match,strict_match; instruct 19.4%
  168. 168 BSC-LT/salamandra-2b-instruct exact_match,strict_match; instruct 19.1%
  169. 169 google/gemma-3-270m-it exact_match,strict_match; instruct 15.8%
  170. 170 croissantllm/CroissantLLMChat-v0.1 exact_match,strict_match; instruct 13.1%
  171. 171 sapienzanlp/Minerva-7B-instruct-v1.0 exact_match,strict_match; instruct 12.3%
  172. 172 TucanoBR/Tucano-1b1-Instruct exact_match,strict_match; instruct 8.08%
  173. 173 AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct exact_match,strict_match; instruct 5.79%
  174. 174 LumiOpen/Llama-Poro-2-70B-Instruct exact_match,strict_match; instruct 1.26%
  175. 175 AI-Sweden-Models/gpt-sw3-1.3b-instruct exact_match,strict_match; instruct 0.62%
  176. 176 Sarvam-M exact_match,strict_match; instruct 0.13%
  177. 177 TucanoBR/Tucano-2b4-Instruct exact_match,strict_match; instruct 0.10%

Source: Official Global PIQA leaderboard

  1. 1 Gemini 3.1 Pro exact_match; instruct 93.9%
  2. 2 Gemini 3 Pro 93.4%
  3. 3 Gemini 3 Flash 92.8%
  4. 4 Seed2.0 Pro 92.3%
  5. 5 Gemini 3.1 Flash-Lite exact_match; instruct 92%
  6. 6 Qwen3.7-Max 91.4%
  7. 7 GPT-5.4 exact_match; instruct 91.3%
  8. 8 Qwen3.7-Plus 90.3%
  9. 9 Claude Sonnet 4.6 exact_match; instruct 90.2%
  10. 10 Qwen3.5 397B-A17B 89.8%
  11. 11 Qwen 3.6 Plus 89.8%
  12. 12 GPT-5.4 Mini exact_match; instruct 89.6%
  13. 13 Qwen3.5-122B-A10B 88.4%
  14. 14 Qwen3.5-27B 87.5%
  15. 15 Qwen3.5-35B-A3B 86.6%
  16. 16 GPT-5.4 Nano exact_match; instruct 85.4%
  17. 17 Gemma 4 31B IT exact_match,strict_match; instruct 84.9%
  18. 18 Qwen3.5-9B 83.2%
  19. 19 Gemma 3 27B exact_match,strict_match; instruct 81.7%
  20. 20 Gemma 4 E4B exact_match,strict_match; instruct 79.8%
  21. 21 Qwen3.5-4B 78.9%
  22. 22 Qwen2.5-72B exact_match,strict_match; instruct 78.3%
  23. 23 gpt-oss-20b exact_match,strict_match; instruct 77.8%
  24. 24 Qwen3-14B exact_match,strict_match; instruct 77.1%
  25. 25 Qwen3-32B exact_match,strict_match; instruct 76%
  26. 26 Apertus 70B exact_match,strict_match; instruct 74.3%
  27. 27 Phi-4 exact_match,strict_match; instruct 74.2%
  28. 28 Qwen3-8B exact_match,strict_match; instruct 74%
  29. 29 DeepSeek-R1-Distill-Qwen-32B exact_match,strict_match; instruct 72.2%
  30. 30 Gemma 4 E2B exact_match,strict_match; instruct 72.1%
  31. 31 Aya Expanse 32B exact_match,strict_match; instruct 71%
  32. 32 DeepSeek-R1-Distill-Qwen-14B exact_match,strict_match; instruct 70.7%
  33. 33 Qwen3-4B exact_match,strict_match; instruct 70.5%
  34. 34 gpt-oss-120b exact_match,strict_match; instruct 69.5%
  35. 35 Qwen3.5-2B 69.3%
  36. 36 c4ai-command-r-08-2024 exact_match,strict_match; instruct 68.9%
  37. 37 Apertus 8B Instruct exact_match,strict_match; instruct 67%
  38. 38 Aya Expanse 8B exact_match,strict_match; instruct 63.9%
  39. 39 EXAONE-3.5-32B-Instruct exact_match,strict_match; instruct 62.4%
  40. 40 Qwen3-1.7B exact_match,strict_match; instruct 60.8%
  41. 41 EXAONE-3.5-7.8B-Instruct exact_match,strict_match; instruct 60.7%
  42. 42 phi-3-medium 14B exact_match,strict_match; instruct 59.5%
  43. 43 Tiny Aya Global exact_match,strict_match; instruct 59.5%
  44. 44 Qwen3.5-0.8B 59.4%
  45. 45 Command R7B exact_match,strict_match; instruct 59%
  46. 46 Gemma 2 2B IT exact_match,strict_match; instruct 58.4%
  47. 47 DeepSeek-R1-Distill-Qwen-7B exact_match,strict_match; instruct 55.5%
  48. 48 phi-3-mini 3.8B exact_match,strict_match; instruct 55.2%
  49. 49 Qwen3-0.6B exact_match,strict_match; instruct 53.9%
  50. 50 Mistral-7B-Instruct-v0.1 exact_match,strict_match; instruct 53.6%
  51. 51 EXAONE 4.0 32B exact_match,strict_match; instruct 51.1%
  52. 52 DeepSeek-R1-Distill-Qwen-1.5B exact_match,strict_match; instruct 27.9%
  53. 53 Sarvam-M exact_match,strict_match; instruct 0.13%

Sources: Official Global PIQA leaderboard and labs’ model cards

#EntryScoreSettingDateSource
1 Gemini 3.1 Pro 93.9% exact_match; instruct Feb 2026 Official leaderboard
2 Gemini 3.1 Flash-Lite 92% exact_match; instruct Mar 2026 Official leaderboard
3 GPT-5.4 91.3% exact_match; instruct Mar 2026 Official leaderboard
4 Claude Sonnet 4.6 90.2% exact_match; instruct Feb 2026 Official leaderboard
5 GPT-5.4 Mini 89.6% exact_match; instruct Mar 2026 Official leaderboard
6 GPT-5.4 Nano 85.4% exact_match; instruct Mar 2026 Official leaderboard
7 Gemma 4 31B IT 84.9% exact_match,strict_match; instruct Apr 2026 Official leaderboard
8 Gemma 3 27B 81.7% exact_match,strict_match; instruct Mar 2025 Official leaderboard
9 CohereLabs/c4ai-command-a-03-2025 81.2% exact_match,strict_match; instruct Official leaderboard
10 Gemma 4 E4B 79.8% exact_match,strict_match; instruct Mar 2026 Official leaderboard
11 aisingapore/Llama-SEA-LION-v3-70B-IT 79.6% exact_match,strict_match; instruct Official leaderboard
12 Sahabat-AI/Llama-Sahabat-AI-v2-70B-IT 78.8% exact_match,strict_match; instruct Official leaderboard
13 Qwen3.5-27B 78.5% exact_match,strict_match; instruct Feb 2026 Official leaderboard
14 Qwen2.5-72B 78.3% exact_match,strict_match; instruct Sep 2024 Official leaderboard
15 google/gemma-3-12b-it 78.1% exact_match,strict_match; instruct Official leaderboard
16 gpt-oss-20b 77.8% exact_match,strict_match; instruct Aug 2025 Official leaderboard
17 Qwen3-14B 77.1% exact_match,strict_match; instruct Apr 2025 Official leaderboard
18 meta-llama/Llama-3.1-70B-Instruct 76.2% exact_match,strict_match; instruct Official leaderboard
19 Qwen3-32B 76% exact_match,strict_match; instruct Apr 2025 Official leaderboard
20 Qwen/Qwen2.5-32B-Instruct 75.2% exact_match,strict_match; instruct Official leaderboard
21 Apertus 70B 74.3% exact_match,strict_match; instruct Sep 2025 Official leaderboard
22 Phi-4 74.2% exact_match,strict_match; instruct Dec 2024 Official leaderboard
23 Qwen3-8B 74% exact_match,strict_match; instruct Apr 2025 Official leaderboard
24 aisingapore/Gemma-SEA-LION-v3-9B-IT 73.9% exact_match,strict_match; instruct Official leaderboard
25 Qwen3.5-9B 73.5% exact_match,strict_match; instruct Feb 2026 Official leaderboard
26 google/gemma-2-27b-it 73.4% exact_match,strict_match; instruct Official leaderboard
27 Qwen/Qwen2.5-14B-Instruct 73.4% exact_match,strict_match; instruct Official leaderboard
28 DeepSeek-R1-Distill-Qwen-32B 72.2% exact_match,strict_match; instruct Jan 2025 Official leaderboard
29 Gemma 4 E2B 72.1% exact_match,strict_match; instruct Mar 2026 Official leaderboard
30 Aya Expanse 32B 71% exact_match,strict_match; instruct Oct 2024 Official leaderboard
31 DeepSeek-R1-Distill-Qwen-14B 70.7% exact_match,strict_match; instruct Jan 2025 Official leaderboard
32 Qwen3-4B 70.5% exact_match,strict_match; instruct Apr 2025 Official leaderboard
33 gpt-oss-120b 69.5% exact_match,strict_match; instruct Aug 2025 Official leaderboard
34 c4ai-command-r-08-2024 68.9% exact_match,strict_match; instruct Aug 2024 Official leaderboard
35 sail/Sailor2-20B-Chat 68.6% exact_match,strict_match; instruct Official leaderboard
36 google/gemma-2-9b-it 68.3% exact_match,strict_match; instruct Official leaderboard
37 google/gemma-3-4b-it 67.6% exact_match,strict_match; instruct Official leaderboard
38 google/gemma-3-27b-pt (base) 67.3% acc,none; base Official leaderboard
39 Apertus 8B Instruct 67% exact_match,strict_match; instruct Sep 2025 Official leaderboard
40 aisingapore/Llama-SEA-LION-v3-8B-IT 66.8% exact_match,strict_match; instruct Official leaderboard
41 Qwen/Qwen2.5-7B-Instruct 66.5% exact_match,strict_match; instruct Official leaderboard
42 CohereLabs/c4ai-command-r-plus-08-2024 65.8% exact_match,strict_match; instruct Official leaderboard
43 swiss-ai/Apertus-70B-2509 (base) 65.3% acc,none; base Official leaderboard
44 google/gemma-4-E4B (base) 64.8% acc,none; base Official leaderboard
45 google/gemma-3-12b-pt (base) 64.2% acc,none; base Official leaderboard
46 meta-llama/Llama-3.1-70B (base) 64% acc,none; base Official leaderboard
47 Aya Expanse 8B 63.9% exact_match,strict_match; instruct Oct 2024 Official leaderboard
48 google/gemma-2-27b (base) 63.4% acc,none; base Official leaderboard
49 LumiOpen/Llama-Poro-2-8B-Instruct 63.2% exact_match,strict_match; instruct Official leaderboard
50 ilsp/Llama-Krikri-8B-Instruct 62.8% exact_match,strict_match; instruct Official leaderboard
51 Qwen/Qwen3.5-9B-Base (base) 62.6% acc,none; base Official leaderboard
52 Tower-Babel/Babel-83B-Chat 62.5% exact_match,strict_match; instruct Official leaderboard
53 LumiOpen/Llama-Poro-2-70B-base (base) 62.5% acc,none; base Official leaderboard
54 EXAONE-3.5-32B-Instruct 62.4% exact_match,strict_match; instruct Dec 2024 Official leaderboard
55 Qwen3.5-4B 62.1% exact_match,strict_match; instruct Feb 2026 Official leaderboard
56 swiss-ai/Apertus-8B-2509 (base) 61.9% acc,none; base Official leaderboard
57 sail/Sailor2-8B-Chat 61.8% exact_match,strict_match; instruct Official leaderboard
58 aisingapore/Gemma-SEA-LION-v3-9B (base) 61.7% acc,none; base Official leaderboard
59 meta-llama/Llama-3.1-8B-Instruct 61% exact_match,strict_match; instruct Official leaderboard
60 Qwen3-1.7B 60.8% exact_match,strict_match; instruct Apr 2025 Official leaderboard
61 EXAONE-3.5-7.8B-Instruct 60.7% exact_match,strict_match; instruct Dec 2024 Official leaderboard
62 google/gemma-2-9b (base) 60.5% acc,none; base Official leaderboard
63 google/gemma-4-E2B (base) 60.2% acc,none; base Official leaderboard
64 Qwen/Qwen2.5-72B (base) 60.2% acc,none; base Official leaderboard
65 Qwen/Qwen2.5-3B-Instruct 60.2% exact_match,strict_match; instruct Official leaderboard
66 kakaocorp/kanana-1.5-8b-instruct-2505 60.1% exact_match,strict_match; instruct Official leaderboard
67 utter-project/EuroLLM-9B-Instruct 60.1% exact_match,strict_match; instruct Official leaderboard
68 phi-3-medium 14B 59.5% exact_match,strict_match; instruct Apr 2024 Official leaderboard
69 Qwen/Qwen3.5-4B-Base (base) 59.5% acc,none; base Official leaderboard
70 Tiny Aya Global 59.5% exact_match,strict_match; instruct Feb 2026 Official leaderboard
71 Command R7B 59% exact_match,strict_match; instruct Dec 2024 Official leaderboard
72 Qwen3.5-2B 58.9% exact_match,strict_match; instruct Feb 2026 Official leaderboard
73 google/gemma-3-4b-pt (base) 58.8% acc,none; base Official leaderboard
74 SeaLLMs/SeaLLMs-v3-7B-Chat 58.8% exact_match,strict_match; instruct Official leaderboard
75 microsoft/Phi-4-mini-instruct 58.5% exact_match,strict_match; instruct Official leaderboard
76 Tower-Babel/Babel-9B-Chat 58.5% exact_match,strict_match; instruct Official leaderboard
77 Gemma 2 2B IT 58.4% exact_match,strict_match; instruct Jul 2024 Official leaderboard
78 aisingapore/Llama-SEA-LION-v3-8B (base) 58% acc,none; base Official leaderboard
79 CohereLabs/tiny-aya-base (base) 58% acc,none; base Official leaderboard
80 Qwen/Qwen2.5-32B (base) 57.7% acc,none; base Official leaderboard
81 microsoft/Phi-3.5-mini-instruct 56.9% exact_match,strict_match; instruct Official leaderboard
82 meta-llama/Llama-3.1-8B (base) 56.9% acc,none; base Official leaderboard
83 utter-project/EuroLLM-9B (base) 56.9% acc,none; base Official leaderboard
84 Qwen/Qwen2.5-14B (base) 56.4% acc,none; base Official leaderboard
85 sail/Sailor2-20B (base) 56.4% acc,none; base Official leaderboard
86 mistralai/Mixtral-8x7B-v0.1 (base) 56.2% acc,none; base Official leaderboard
87 BSC-LT/salamandra-7b (base) 56% acc,none; base Official leaderboard
88 DeepSeek-R1-Distill-Qwen-7B 55.5% exact_match,strict_match; instruct Jan 2025 Official leaderboard
89 phi-3-mini 3.8B 55.2% exact_match,strict_match; instruct Apr 2024 Official leaderboard
90 google/gemma-3-1b-pt (base) 54.7% acc,none; base Official leaderboard
91 Tower-Babel/Babel-9B (base) 54.7% acc,none; base Official leaderboard
92 google/gemma-3-1b-it 54.6% exact_match,strict_match; instruct Official leaderboard
93 mistralai/Mistral-7B-Instruct-v0.3 54.5% exact_match,strict_match; instruct Official leaderboard
94 mistralai/Mistral-Small-Instruct-2409 54.5% exact_match,strict_match; instruct Official leaderboard
95 Qwen/Qwen3.5-2B-Base (base) 54.5% acc,none; base Official leaderboard
96 LumiOpen/Llama-Poro-2-8B-base (base) 54.3% acc,none; base Official leaderboard
97 ilsp/Llama-Krikri-8B-Base (base) 54% acc,none; base Official leaderboard
98 LumiOpen/Viking-33B (base) 54% acc,none; base Official leaderboard
99 Qwen3-0.6B 53.9% exact_match,strict_match; instruct Apr 2025 Official leaderboard
100 Qwen/Qwen2.5-1.5B-Instruct 53.8% exact_match,strict_match; instruct Official leaderboard
101 meta-llama/Llama-3.2-3B (base) 53.6% acc,none; base Official leaderboard
102 tiiuae/falcon-40b (base) 53.6% acc,none; base Official leaderboard
103 Mistral-7B-Instruct-v0.1 53.6% exact_match,strict_match; instruct Sep 2023 Official leaderboard
104 Qwen/Qwen2.5-7B (base) 53.6% acc,none; base Official leaderboard
105 facebook/xglm-4.5B (base) 53.5% acc,none; base Official leaderboard
106 SeaLLMs/SeaLLMs-v3-7B (base) 53.4% acc,none; base Official leaderboard
107 Unbabel/TowerBase-13B-v0.1 (base) 53.4% acc,none; base Official leaderboard
108 mistralai/Mistral-7B-v0.1 (base) 53.3% acc,none; base Official leaderboard
109 bertin-project/Gromenauer-7B (base) 53.3% acc,none; base Official leaderboard
110 meta-llama/Llama-3.2-1B-Instruct 53.3% exact_match,strict_match; instruct Official leaderboard
111 BSC-LT/salamandra-2b (base) 53% acc,none; base Official leaderboard
112 sail/Sailor2-8B (base) 52.9% acc,none; base Official leaderboard
113 Unbabel/TowerInstruct-13B-v0.1 52.6% exact_match,strict_match; instruct Official leaderboard
114 LumiOpen/Viking-13B (base) 52.6% acc,none; base Official leaderboard
115 Qwen3.5-0.8B 52.5% exact_match,strict_match; instruct Feb 2026 Official leaderboard
116 bigscience/bloom-7b1 (base) 52.4% acc,none; base Official leaderboard
117 Unbabel/TowerInstruct-7B-v0.1 52.3% exact_match,strict_match; instruct Official leaderboard
118 CraneAILabs/swahili-gemma-1b (base) 52.1% acc,none; base Official leaderboard
119 Unbabel/TowerBase-7B-v0.1 (base) 52% acc,none; base Official leaderboard
120 Qwen/Qwen3.5-0.8B-Base (base) 51.8% acc,none; base Official leaderboard
121 Qwen/Qwen2.5-3B (base) 51.7% acc,none; base Official leaderboard
122 CraneAILabs/ganda-gemma-1b (base) 51.7% acc,none; base Official leaderboard
123 ilsp/Meltemi-7B-v1.5 (base) 51.7% acc,none; base Official leaderboard
124 bigscience/bloom-3b (base) 51.6% acc,none; base Official leaderboard
125 SeaLLMs/SeaLLMs-v3-1.5B-Chat 51.6% exact_match,strict_match; instruct Official leaderboard
126 LGAI-EXAONE/EXAONE-4.0-1.2B 51.5% exact_match,strict_match; instruct Official leaderboard
127 meta-llama/Llama-3.2-3B-Instruct 51.2% exact_match,strict_match; instruct Official leaderboard
128 LumiOpen/Viking-7B (base) 51.2% acc,none; base Official leaderboard
129 EXAONE 4.0 32B 51.1% exact_match,strict_match; instruct Jul 2025 Official leaderboard
130 facebook/xglm-2.9B (base) 51% acc,none; base Official leaderboard
131 bigscience/bloom-1b7 (base) 50.9% acc,none; base Official leaderboard
132 facebook/xglm-7.5B (base) 50.8% acc,none; base Official leaderboard
133 kakaocorp/kanana-1.5-8b-base (base) 50.7% acc,none; base Official leaderboard
134 facebook/xglm-1.7B (base) 50.3% acc,none; base Official leaderboard
135 Yellow-AI-NLP/komodo-7b-base (base) 50.3% acc,none; base Official leaderboard
136 bigscience/bloom-1b1 (base) 50% acc,none; base Official leaderboard
137 vilm/vinallama-7b-chat 49.9% exact_match,strict_match; instruct Official leaderboard
138 Qwen/Qwen2.5-1.5B (base) 49.9% acc,none; base Official leaderboard
139 tiiuae/falcon-7b (base) 49.8% acc,none; base Official leaderboard
140 speakleash/Bielik-4.5B-v3 (base) 49.8% acc,none; base Official leaderboard
141 google/gemma-3-270m (base) 49.8% acc,none; base Official leaderboard
142 bigscience/bloom-560m (base) 49.7% acc,none; base Official leaderboard
143 Qwen/Qwen2.5-0.5B-Instruct 49.6% exact_match,strict_match; instruct Official leaderboard
144 AI-Sweden-Models/gpt-sw3-6.7b-v2 (base) 49.6% acc,none; base Official leaderboard
145 SeaLLMs/SeaLLMs-v3-1.5B (base) 49.6% acc,none; base Official leaderboard
146 Gen2B/HyGPT-10b (base) 49.4% acc,none; base Official leaderboard
147 facebook/xglm-564M (base) 49.2% acc,none; base Official leaderboard
148 AI-Sweden-Models/gpt-sw3-1.3b (base) 49.1% acc,none; base Official leaderboard
149 vilm/vinallama-7b (base) 49.1% acc,none; base Official leaderboard
150 speakleash/Bielik-1.5B-v3 (base) 49.1% acc,none; base Official leaderboard
151 naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B 49% exact_match,strict_match; instruct Official leaderboard
152 universitytehran/PersianMind-v1.0 (base) 48.8% acc,none; base Official leaderboard
153 sapienzanlp/Minerva-7B-base-v1.0 (base) 48.8% acc,none; base Official leaderboard
154 croissantllm/CroissantLLMBase (base) 48.8% acc,none; base Official leaderboard
155 sail/Sailor2-1B (base) 48.7% acc,none; base Official leaderboard
156 vilm/vinallama-2.7b (base) 48.5% acc,none; base Official leaderboard
157 TucanoBR/Tucano-2b4 (base) 48% acc,none; base Official leaderboard
158 TucanoBR/Tucano-1b1 (base) 48% acc,none; base Official leaderboard
159 sapienzanlp/Minerva-3B-base-v1.0 (base) 47.9% acc,none; base Official leaderboard
160 sapienzanlp/Minerva-1B-base-v1.0 (base) 47.7% acc,none; base Official leaderboard
161 sail/Sailor2-1B-Chat 47.5% exact_match,strict_match; instruct Official leaderboard
162 lelapa/InkubaLM-0.4B (base) 47.4% acc,none; base Official leaderboard
163 Azurro/APT3-1B-Base (base) 47.3% acc,none; base Official leaderboard
164 ilsp/Meltemi-7B-Instruct-v1.5 46.5% exact_match,strict_match; instruct Official leaderboard
165 DeepSeek-R1-Distill-Qwen-1.5B 27.9% exact_match,strict_match; instruct Jan 2025 Official leaderboard
166 AI-Sweden-Models/gpt-sw3-20b-instruct 21% exact_match,strict_match; instruct Official leaderboard
167 BSC-LT/salamandra-7b-instruct 19.4% exact_match,strict_match; instruct Official leaderboard
168 BSC-LT/salamandra-2b-instruct 19.1% exact_match,strict_match; instruct Official leaderboard
169 google/gemma-3-270m-it 15.8% exact_match,strict_match; instruct Official leaderboard
170 croissantllm/CroissantLLMChat-v0.1 13.1% exact_match,strict_match; instruct Official leaderboard
171 sapienzanlp/Minerva-7B-instruct-v1.0 12.3% exact_match,strict_match; instruct Official leaderboard
172 TucanoBR/Tucano-1b1-Instruct 8.08% exact_match,strict_match; instruct Official leaderboard
173 AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct 5.79% exact_match,strict_match; instruct Official leaderboard
174 LumiOpen/Llama-Poro-2-70B-Instruct 1.26% exact_match,strict_match; instruct Official leaderboard
175 AI-Sweden-Models/gpt-sw3-1.3b-instruct 0.62% exact_match,strict_match; instruct Official leaderboard
176 Sarvam-M 0.13% exact_match,strict_match; instruct May 2025 Official leaderboard
177 TucanoBR/Tucano-2b4-Instruct 0.10% exact_match,strict_match; instruct Official leaderboard
#ModelScoreSettingDateSource
1 Gemini 3.1 Pro 93.9% exact_match; instruct Feb 2026 Official leaderboard
2 Gemini 3 Pro 93.4% Nov 2025 Lab model card
3 Gemini 3 Flash 92.8% Dec 2025 Lab model card
4 Seed2.0 Pro 92.3% Feb 2026 Lab model card
5 Gemini 3.1 Flash-Lite 92% exact_match; instruct Mar 2026 Official leaderboard
6 Qwen3.7-Max 91.4% May 2026 Lab model card
7 GPT-5.4 91.3% exact_match; instruct Mar 2026 Official leaderboard
8 Qwen3.7-Plus 90.3% Jun 2026 Lab model card
9 Claude Sonnet 4.6 90.2% exact_match; instruct Feb 2026 Official leaderboard
10 Qwen3.5 397B-A17B 89.8% Feb 2026 Lab model card
11 Qwen 3.6 Plus 89.8% Apr 2026 Lab model card
12 GPT-5.4 Mini 89.6% exact_match; instruct Mar 2026 Official leaderboard
13 Qwen3.5-122B-A10B 88.4% Feb 2026 Lab model card
14 Qwen3.5-27B 87.5% Feb 2026 Lab model card
15 Qwen3.5-35B-A3B 86.6% Feb 2026 Lab model card
16 GPT-5.4 Nano 85.4% exact_match; instruct Mar 2026 Official leaderboard
17 Gemma 4 31B IT 84.9% exact_match,strict_match; instruct Apr 2026 Official leaderboard
18 Qwen3.5-9B 83.2% Mar 2026 Lab model card
19 Gemma 3 27B 81.7% exact_match,strict_match; instruct Mar 2025 Official leaderboard
20 Gemma 4 E4B 79.8% exact_match,strict_match; instruct Mar 2026 Official leaderboard
21 Qwen3.5-4B 78.9% Mar 2026 Lab model card
22 Qwen2.5-72B 78.3% exact_match,strict_match; instruct Sep 2024 Official leaderboard
23 gpt-oss-20b 77.8% exact_match,strict_match; instruct Aug 2025 Official leaderboard
24 Qwen3-14B 77.1% exact_match,strict_match; instruct Apr 2025 Official leaderboard
25 Qwen3-32B 76% exact_match,strict_match; instruct Apr 2025 Official leaderboard
26 Apertus 70B 74.3% exact_match,strict_match; instruct Sep 2025 Official leaderboard
27 Phi-4 74.2% exact_match,strict_match; instruct Dec 2024 Official leaderboard
28 Qwen3-8B 74% exact_match,strict_match; instruct Apr 2025 Official leaderboard
29 DeepSeek-R1-Distill-Qwen-32B 72.2% exact_match,strict_match; instruct Jan 2025 Official leaderboard
30 Gemma 4 E2B 72.1% exact_match,strict_match; instruct Mar 2026 Official leaderboard
31 Aya Expanse 32B 71% exact_match,strict_match; instruct Oct 2024 Official leaderboard
32 DeepSeek-R1-Distill-Qwen-14B 70.7% exact_match,strict_match; instruct Jan 2025 Official leaderboard
33 Qwen3-4B 70.5% exact_match,strict_match; instruct Apr 2025 Official leaderboard
34 gpt-oss-120b 69.5% exact_match,strict_match; instruct Aug 2025 Official leaderboard
35 Qwen3.5-2B 69.3% Mar 2026 Lab model card
36 c4ai-command-r-08-2024 68.9% exact_match,strict_match; instruct Aug 2024 Official leaderboard
37 Apertus 8B Instruct 67% exact_match,strict_match; instruct Sep 2025 Official leaderboard
38 Aya Expanse 8B 63.9% exact_match,strict_match; instruct Oct 2024 Official leaderboard
39 EXAONE-3.5-32B-Instruct 62.4% exact_match,strict_match; instruct Dec 2024 Official leaderboard
40 Qwen3-1.7B 60.8% exact_match,strict_match; instruct Apr 2025 Official leaderboard
41 EXAONE-3.5-7.8B-Instruct 60.7% exact_match,strict_match; instruct Dec 2024 Official leaderboard
42 phi-3-medium 14B 59.5% exact_match,strict_match; instruct Apr 2024 Official leaderboard
43 Tiny Aya Global 59.5% exact_match,strict_match; instruct Feb 2026 Official leaderboard
44 Qwen3.5-0.8B 59.4% Mar 2026 Lab model card
45 Command R7B 59% exact_match,strict_match; instruct Dec 2024 Official leaderboard
46 Gemma 2 2B IT 58.4% exact_match,strict_match; instruct Jul 2024 Official leaderboard
47 DeepSeek-R1-Distill-Qwen-7B 55.5% exact_match,strict_match; instruct Jan 2025 Official leaderboard
48 phi-3-mini 3.8B 55.2% exact_match,strict_match; instruct Apr 2024 Official leaderboard
49 Qwen3-0.6B 53.9% exact_match,strict_match; instruct Apr 2025 Official leaderboard
50 Mistral-7B-Instruct-v0.1 53.6% exact_match,strict_match; instruct Sep 2023 Official leaderboard
51 EXAONE 4.0 32B 51.1% exact_match,strict_match; instruct Jul 2025 Official leaderboard
52 DeepSeek-R1-Distill-Qwen-1.5B 27.9% exact_match,strict_match; instruct Jan 2025 Official leaderboard
53 Sarvam-M 0.13% exact_match,strict_match; instruct May 2025 Official leaderboard

Labs report scores for 14 models in their cards. Switch the scores above to rank them together.

3 models have held number one on the official leaderboard since its release in October 2025 3 models have held number one with claims included since its release in October 2025

Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.

Google DeepMind Anthropic
Own leaderboard Passed 85% in Feb 2026, by Claude Sonnet 4.6
Lab claims Passed 85% in Nov 2025, by Gemini 3 Pro
Gemini 3 Pro 93.4%

Sources: Official Global PIQA leaderboard and labs’ model cards

Google DeepMind’s own number for Gemini 3 Pro passed 85% in November 2025

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2024 2025 2026 Near the ceiling (85%) Gemini 3.1 Pro Gemma 3 27B Qwen2.5-72B c4ai-command-r-08-2024 phi-3-medium 14B Mistral-7B-Instruct-v0.1 0% 20% 40% 60% 80% 100% 2024 2025 2026 Near the ceiling (85%) Gemini 3.1 Pro Gemma 3 27B

Sources: Official Global PIQA leaderboard and labs’ model cards

Labs headline it less often now, last in June 2026

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
ByteDance Seed
Qwen
DateLaunch postScoreAs the post writes it
Jun 1, 2026 Qwen3.7-Plus 90.3 Global PIQA
May 20, 2026 Qwen3.7-Max 91.4 Global PIQA
Apr 2, 2026 Qwen 3.6 Plus 89.8 Global PIQA
Mar 2, 2026 Qwen3.5-0.8B 59.4 Global PIQA
Mar 2, 2026 Qwen3.5-2B 69.3 Global PIQA
Mar 2, 2026 Qwen3.5-4B 78.9 Global PIQA
Mar 2, 2026 Qwen3.5-9B 83.2 Global PIQA
Feb 24, 2026 Qwen3.5-35B-A3B 86.6 Global PIQA
Feb 24, 2026 Qwen3.5-27B 87.5 Global PIQA
Feb 24, 2026 Qwen3.5-122B-A10B 88.4 Global PIQA
Feb 16, 2026 Qwen3.5 397B-A17B 89.8 Global PIQA
Feb 14, 2026 Seed2.0 Pro 92.3 Global PIQA
Dec 17, 2025 Gemini 3 Flash 92.8 Global PIQA
Nov 18, 2025 Gemini 3 Pro 93.4 Global PIQA

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Feb 14, 2026 Seed2.0 Pro model card 92.3 Global PIQA (Table 3) Capabilities

The lab's number comes out ahead in 5 of 5 pairs that differ

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.

Model Lab says Board says Gap
Qwen3.5-4B 78.9% Global PIQA 62.1% Leaderboard, exact_match,strict_match; instruct +17 pts
Qwen3.5-2B 69.3% Global PIQA 58.9% Leaderboard, exact_match,strict_match; instruct +10 pts
Qwen3.5-9B 83.2% Global PIQA 73.5% Leaderboard, exact_match,strict_match; instruct +9.7 pts
Qwen3.5-27B 87.5% Global PIQA 78.5% Leaderboard, exact_match,strict_match; instruct +9.0 pts
Qwen3.5-0.8B 59.4% Global PIQA 52.5% Leaderboard, exact_match,strict_match; instruct +6.9 pts

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