INCLUDE
Models answer multiple-choice questions from local academic and professional exams in 44 languages that test regional knowledge. Scored by accuracy.
INCLUDE-base has 22,637 exam questions in 44 languages. A lite subset of 11,095 questions also exists, and the dataset cards show scores within about a point of the base set. Reports rarely say which set they used.
- Made by
- EPFL and Cohere For AI
- Released
- November 2024
- Kind
- Knowledge in many languages
- Level
- University
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
- Strongest model tested
- Claude Opus 5 #10 on the capability index
- Last in a launch post
- June 2026, dropped after it saturated
- Last model added
- July 2026
- Scores refreshed
- November 14th, 2026
In the authors’ words
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal value of generative AI tools in many communities. However, the development of functional LLMs in many languages (i.e., multilingual LLMs) is bottlenecked by the lack of high-quality evaluation resources in languages other than English. Moreover, current practices in multilingual benchmark construction often translate English resources, ignoring the regional and cultural knowledge of the environments in which multilingual systems would be used. In this work, we construct an evaluation suite of 197,243 QA pairs from local exam sources to measure the capabilities of multilingual LLMs in a variety of regional contexts. Our novel resource, INCLUDE, is a comprehensive knowledge- and reasoning-centric benchmark across 44 written languages that evaluates multilingual LLMs for performance in the actual language environments where they would be deployed.
Claude Opus 5 leads with 89.8% among models released by July 2026
Best score per model as labs report them in their own cards, drawn striped. Labs pick their own settings, so these compare less cleanly than independent runs.
Aya Expanse 32B leads with 59.5% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Dotted bars are reruns by Epoch AI or another board, and each row names its source.
Claude Opus 5 leads with 89.8%, 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. Striped bars are claims, and dotted bars are reruns by Epoch AI or another board.
The newest model with a score here came out in July 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 15 more
- 89.8 Claude Opus 5
- 87.6 Claude Opus 4.8
- 87.0 Claude Opus 4.7
- 86.5 Claude Sonnet 5
- 86.2
Qwen3.7-Max
- 85.6
Qwen3.5 397B-A17B
- 85.1
Qwen 3.6 Plus
- 83.0
Qwen3.7-Plus
- 82.8
Qwen3.5-122B-A10B
- 81.6
Qwen3.5-27B
- 81.0
Qwen3-235B-A22B-Thinking
- 80.0
Qwen3-VL-235B-A22B
- 79.7
Qwen3.5-35B-A3B
- 78.9
Qwen3-Next-80B-A3B
- 78.7
Qwen3-235B-A22B
- 75.6
Qwen3.5-9B
- 74.3
Cohere Command A
- 73.7
Qwen3-32B
- 71.9
Qwen3-30B-A3B
- 71.7
Qwen3-14B
- 71.0
Qwen3.5-4B
- 67.8
Qwen3-8B
- 67.3 Granite 4.1 30B
- 64.0 Granite 4.0 H Small
- 61.8
Qwen3-4B
- 58.2
Apertus 70B
- 57.2
Gemma 3n E4B
- 55.4
Qwen3.5-2B
- 51.8
Qwen3-1.7B
- 42.1 granite-4.0-1b
- 40.6
Qwen3.5-0.8B
- 1 Claude Opus 5 max effort 89.8%
- 2 Claude Opus 4.8 87.6%
- 3 Claude Opus 4.7 87%
- 4 Claude Sonnet 5 max effort 86.5%
- 5
Qwen3.7-Max 86.2%
- 6
Qwen3.5 397B-A17B 85.6%
- 7
Qwen 3.6 Plus 85.1%
- 8
Qwen3.7-Plus 83%
- 9
Qwen3.5-122B-A10B 82.8%
- 10
Qwen3.5-27B 81.6%
- 11
Qwen3-235B-A22B-Thinking Jul 2025 81%
- 12
Qwen3-VL-235B-A22B 80%
- 13
Qwen3.5-35B-A3B 79.7%
- 14
Qwen3-Next-80B-A3B 78.9%
- 15
Qwen3-235B-A22B 78.7%
- 16
Qwen3.5-9B 75.6%
- 17
Cohere Command A 74.3%
- 18
Qwen3-32B 73.7%
- 19
Qwen3-30B-A3B 71.9%
- 20
Qwen3-14B 71.7%
- 21
Qwen3.5-4B 71%
- 22
Qwen3-8B 67.8%
- 23 Granite 4.1 30B 67.3%
- 24 Granite 4.0 H Small 64%
- 25
Qwen3-4B 61.8%
- 26
Apertus 70B 58.2%
- 27
Gemma 3n E4B 57.2%
- 28
Qwen3.5-2B 55.4%
- 29
Qwen3-1.7B 51.8%
- 30 granite-4.0-1b 42.1%
- 31
Qwen3.5-0.8B 40.6%
Source: Labs’ model cards
Source: Official INCLUDE leaderboard
- 89.8 Claude Opus 5
- 87.6 Claude Opus 4.8
- 87.0 Claude Opus 4.7
- 86.5 Claude Sonnet 5
- 86.2
Qwen3.7-Max
- 85.6
Qwen3.5 397B-A17B
- 85.1
Qwen 3.6 Plus
- 83.0
Qwen3.7-Plus
- 82.8
Qwen3.5-122B-A10B
- 81.6
Qwen3.5-27B
- 81.0
Qwen3-235B-A22B-Thinking
- 80.0
Qwen3-VL-235B-A22B
- 79.7
Qwen3.5-35B-A3B
- 78.9
Qwen3-Next-80B-A3B
- 78.7
Qwen3-235B-A22B
- 75.6
Qwen3.5-9B
- 74.3
Cohere Command A
- 73.7
Qwen3-32B
- 71.9
Qwen3-30B-A3B
- 71.7
Qwen3-14B
- 71.0
Qwen3.5-4B
- 67.8
Qwen3-8B
- 67.3 Granite 4.1 30B
- 64.0 Granite 4.0 H Small
- 61.8
Qwen3-4B
- 59.5
Aya Expanse 32B
- 58.2
Apertus 70B
- 57.2
Gemma 3n E4B
- 55.4
Qwen3.5-2B
- 51.8
Qwen3-1.7B
- 47.8
Aya Expanse 8B
- 44.3
Mistral-7B-Instruct-v0.1
- 42.1 granite-4.0-1b
- 40.6
Qwen3.5-0.8B
- 1 Claude Opus 5 max effort 89.8%
- 2 Claude Opus 4.8 87.6%
- 3 Claude Opus 4.7 87%
- 4 Claude Sonnet 5 max effort 86.5%
- 5
Qwen3.7-Max 86.2%
- 6
Qwen3.5 397B-A17B 85.6%
- 7
Qwen 3.6 Plus 85.1%
- 8
Qwen3.7-Plus 83%
- 9
Qwen3.5-122B-A10B 82.8%
- 10
Qwen3.5-27B 81.6%
- 11
Qwen3-235B-A22B-Thinking Jul 2025 81%
- 12
Qwen3-VL-235B-A22B 80%
- 13
Qwen3.5-35B-A3B 79.7%
- 14
Qwen3-Next-80B-A3B 78.9%
- 15
Qwen3-235B-A22B 78.7%
- 16
Qwen3.5-9B 75.6%
- 17
Cohere Command A 74.3%
- 18
Qwen3-32B 73.7%
- 19
Qwen3-30B-A3B 71.9%
- 20
Qwen3-14B 71.7%
- 21
Qwen3.5-4B 71%
- 22
Qwen3-8B 67.8%
- 23 Granite 4.1 30B 67.3%
- 24 Granite 4.0 H Small 64%
- 25
Qwen3-4B 61.8%
- 26
Aya Expanse 32B English instructions 59.5%
- 27
Apertus 70B 58.2%
- 28
Gemma 3n E4B 57.2%
- 29
Qwen3.5-2B 55.4%
- 30
Qwen3-1.7B 51.8%
- 31
Aya Expanse 8B English instructions 47.8%
- 32
Mistral-7B-Instruct-v0.1 English instructions 44.3%
- 33 granite-4.0-1b 42.1%
- 34
Qwen3.5-0.8B 40.6%
Sources: Labs’ model cards and official INCLUDE leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5 | 89.8% | max effort | Jul 2026 | Lab model card |
| 2 | Claude Opus 4.8 | 87.6% | May 2026 | Lab model card | |
| 3 | Claude Opus 4.7 | 87% | Apr 2026 | Lab model card | |
| 4 | Claude Sonnet 5 | 86.5% | max effort | Jun 2026 | Lab model card |
| 5 | | 86.2% | May 2026 | Lab model card | |
| 6 | | 85.6% | Feb 2026 | Lab model card | |
| 7 | | 85.1% | Apr 2026 | Lab model card | |
| 8 | | 83% | Jun 2026 | Lab model card | |
| 9 | | 82.8% | Feb 2026 | Lab model card | |
| 10 | | 81.6% | Feb 2026 | Lab model card | |
| 11 | | 81% | Jul 2025 | Lab model card | |
| 12 | | 80% | Sep 2025 | Lab model card | |
| 13 | | 79.7% | Feb 2026 | Lab model card | |
| 14 | | 78.9% | Sep 2025 | Lab model card | |
| 15 | | 78.7% | Apr 2025 | Lab model card | |
| 16 | | 75.6% | Mar 2026 | Lab model card | |
| 17 | | 74.3% | Apr 2025 | Lab model card | |
| 18 | | 73.7% | May 2025 | Lab model card | |
| 19 | | 71.9% | May 2025 | Lab model card | |
| 20 | | 71.7% | May 2025 | Lab model card | |
| 21 | | 71% | Mar 2026 | Lab model card | |
| 22 | | 67.8% | May 2025 | Lab model card | |
| 23 | Granite 4.1 30B | 67.3% | Apr 2026 | Lab model card | |
| 24 | Granite 4.0 H Small | 64% | Oct 2025 | Lab model card | |
| 25 | | 61.8% | May 2025 | Lab model card | |
| 26 | | 58.2% | Sep 2025 | Lab model card | |
| 27 | | 57.2% | Jun 2025 | Lab model card | |
| 28 | | 55.4% | Mar 2026 | Lab model card | |
| 29 | | 51.8% | May 2025 | Lab model card | |
| 30 | granite-4.0-1b | 42.1% | Oct 2025 | Lab model card | |
| 31 | | 40.6% | Mar 2026 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 59.5% | English instructions | Oct 2024 | Official leaderboard |
| 2 | | 47.8% | English instructions | Oct 2024 | Official leaderboard |
| 3 | | 44.3% | English instructions | Sep 2023 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5 | 89.8% | max effort | Jul 2026 | Lab model card |
| 2 | Claude Opus 4.8 | 87.6% | May 2026 | Lab model card | |
| 3 | Claude Opus 4.7 | 87% | Apr 2026 | Lab model card | |
| 4 | Claude Sonnet 5 | 86.5% | max effort | Jun 2026 | Lab model card |
| 5 | | 86.2% | May 2026 | Lab model card | |
| 6 | | 85.6% | Feb 2026 | Lab model card | |
| 7 | | 85.1% | Apr 2026 | Lab model card | |
| 8 | | 83% | Jun 2026 | Lab model card | |
| 9 | | 82.8% | Feb 2026 | Lab model card | |
| 10 | | 81.6% | Feb 2026 | Lab model card | |
| 11 | | 81% | Jul 2025 | Lab model card | |
| 12 | | 80% | Sep 2025 | Lab model card | |
| 13 | | 79.7% | Feb 2026 | Lab model card | |
| 14 | | 78.9% | Sep 2025 | Lab model card | |
| 15 | | 78.7% | Apr 2025 | Lab model card | |
| 16 | | 75.6% | Mar 2026 | Lab model card | |
| 17 | | 74.3% | Apr 2025 | Lab model card | |
| 18 | | 73.7% | May 2025 | Lab model card | |
| 19 | | 71.9% | May 2025 | Lab model card | |
| 20 | | 71.7% | May 2025 | Lab model card | |
| 21 | | 71% | Mar 2026 | Lab model card | |
| 22 | | 67.8% | May 2025 | Lab model card | |
| 23 | Granite 4.1 30B | 67.3% | Apr 2026 | Lab model card | |
| 24 | Granite 4.0 H Small | 64% | Oct 2025 | Lab model card | |
| 25 | | 61.8% | May 2025 | Lab model card | |
| 26 | | 59.5% | English instructions | Oct 2024 | Official leaderboard |
| 27 | | 58.2% | Sep 2025 | Lab model card | |
| 28 | | 57.2% | Jun 2025 | Lab model card | |
| 29 | | 55.4% | Mar 2026 | Lab model card | |
| 30 | | 51.8% | May 2025 | Lab model card | |
| 31 | | 47.8% | English instructions | Oct 2024 | Official leaderboard |
| 32 | | 44.3% | English instructions | Sep 2023 | Official leaderboard |
| 33 | granite-4.0-1b | 42.1% | Oct 2025 | Lab model card | |
| 34 | | 40.6% | Mar 2026 | Lab model card |
The benchmark's own leaderboard has 12 entries, 3 of them models we track. Switch the scores above to rank them together.
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
Source: Official INCLUDE leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | English instructions | 59.5% | |||
| | original-language instructions | 59.1% | |||
| | English instructions | 47.8% | |||
| | original-language instructions | 47.2% | |||
| | English instructions | 44.3% | |||
| | original-language instructions | 44.2% |
7 models have held number one in labs’ own numbers since its release in November 2024 Number one over time 8 models have held number one with claims included since its release in November 2024
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.
Sources: Official INCLUDE leaderboard and labs’ model cards
Qwen’s own number for Qwen3.5 397B-A17B passed 85% in February 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official INCLUDE 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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jun 1, 2026 | 83 | INCLUDE | |
| May 20, 2026 | 86.2 | INCLUDE | |
| Apr 29, 2026 | Granite 4.1 30B | 67.3 | INCLUDE (5-shot, 14 languages) |
| Apr 2, 2026 | 85.1 | INCLUDE | |
| Mar 2, 2026 | 40.6 | INCLUDE | |
| Mar 2, 2026 | 55.4 | INCLUDE | |
| Mar 2, 2026 | 71 | INCLUDE | |
| Mar 2, 2026 | 75.6 | INCLUDE | |
| Feb 24, 2026 | 79.7 | INCLUDE | |
| Feb 24, 2026 | 81.6 | INCLUDE | |
| Feb 24, 2026 | 82.8 | INCLUDE | |
| Feb 16, 2026 | 85.6 | INCLUDE | |
| Oct 28, 2025 | granite-4.0-1b | 42.1 | INCLUDE (5-shot, 14 languages) |
| Oct 2, 2025 | Granite 4.0 H Small | 64 | INCLUDE (5-shot, 14 languages) |
| Sep 23, 2025 | 80 | INCLUDE | |
| Sep 11, 2025 | 78.9 | INCLUDE | |
| Jul 25, 2025 | 81 | INCLUDE | |
| Jun 26, 2025 | 57.2 | Include 0-shot (IT) | |
| Apr 29, 2025 | 78.7 | INCLUDE |
14 system cards report it, from 4 labs
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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jul 24, 2026 | Claude Opus 5 system card | 89.8 | INCLUDE average accuracy across 44 languages, max effort, five trials, printed on chart (8.16.3, Figure 8.16.3.A) | Capabilities |
| Jun 30, 2026 | Claude Sonnet 5 system card | 86.5 | INCLUDE average accuracy across 44 languages, max effort, five trials (8.13.3, Figure 8.13.3.A) | Capabilities |
| May 28, 2026 | Claude Opus 4.8 system card | 87.6 | INCLUDE average accuracy across 44 languages, adaptive thinking (8.15.3, Figure 8.15.3.A) | Capabilities |
| Apr 16, 2026 | Claude Opus 4.7 system card | 87 | INCLUDE average accuracy across 44 languages, adaptive thinking (8.12.3, Figure 8.12.3.A) | Capabilities |
| Nov 26, 2025 | | 80 | INCLUDE (Table 6) | Capabilities |
| Sep 17, 2025 | | 58.2 | INCLUDE, 44 languages (Table 20). INCLUDE V2 beta, 45 more languages, 41.6 | Capabilities |
| May 14, 2025 | | 67.8 | INCLUDE, thinking mode (Table 17). Non-thinking 62.5 (Table 18) | Capabilities |
| May 14, 2025 | | 61.8 | INCLUDE, thinking mode (Table 17). Non-thinking 53.8 (Table 18) | Capabilities |
| May 14, 2025 | | 73.7 | INCLUDE, thinking mode (Table 13). Non-thinking 70.9 (Table 14) | Capabilities |
| May 14, 2025 | | 71.9 | INCLUDE, thinking mode (Table 15). Non-thinking 67.8 (Table 16) | Capabilities |
| May 14, 2025 | | 78.7 | INCLUDE, thinking mode (Table 11). Non-thinking 75.6 (Table 12) | Capabilities |
| May 14, 2025 | | 71.7 | INCLUDE, thinking mode (Table 15). Non-thinking 67.8 (Table 16) | Capabilities |
| May 14, 2025 | | 51.8 | INCLUDE, thinking mode (Table 19). Non-thinking 42.6 (Table 20) | Capabilities |
| Apr 1, 2025 | | 74.3 | INCLUDE-44 average over 20 languages (Table 25) | Capabilities |
More in Multilingual
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- WMT24++ In use English-to-55-language translation of WMT24 test data. Scored with automatic metrics such as MetricX or xCOMET.
K-EXAONE 90.5%
- MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language.
Qwen3.7-Max 87%
- CLIcK In use Models answer 1,995 multiple-choice questions on Korean language and culture. Questions come from official Korean exams and textbooks in eleven categories.
Solar Open 2 90.7%
- Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy.
Nemotron 3 Ultra 550B-A55B Base 90.1%
- MMMB In use Models answer multiple-choice questions about images in six languages across 15 categories. The set has about 12,000 questions. LFM2.5-VL-3B 83%