Benchmark Almanac

Qwen in-house English automatic evaluation

Only in system cards

Models answer Qwen in-house English datasets on knowledge, comprehension, coding, math and related skills. Skills and weights change between reports.

In-house Qwen evaluation. The Qwen2 report gives an average, the Qwen2.5 report gives per-skill scores only.

Released
July 2024
Kind
Other
Level
Everyday
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Strongest model tested
Qwen2-72B #179 on the capability index
Last in a system card
December 2024
Last model added
December 2024
1
Model scored in lab cards
6
System cards report it, from 1 lab

Qwen2-72B leads with 72.9%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Qwen2-72B 72.9%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Qwen2-72B 72.9% Jul 2024 Lab model card

Scores over time

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

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Qwen2-72B 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Qwen2-72B

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

6 system cards report it, from 1 lab

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
Dec 19, 2024 Qwen2.5-7B technical report In-house English automatic evaluation, per-skill scores only, no overall: IF 70.01, Knowledge 52.74, Comprehension 62.69, Coding 48.41, Math 56.93, Reasoning 54.69 (Table 11) Capabilities
Dec 19, 2024 Qwen2.5-72B technical report In-house English automatic evaluation, per-skill scores only, no overall: IF 82.65, Knowledge 66.09, Comprehension 74.43, Coding 60.41, Math 59.73, Reasoning 65.90 (Table 11) Capabilities
Dec 19, 2024 Qwen2.5-32B technical report In-house English automatic evaluation, per-skill scores only, no overall: IF 76.79, Knowledge 64.08, Comprehension 71.28, Coding 58.90, Math 60.97, Reasoning 65.49 (Table 11) Capabilities
Dec 19, 2024 Qwen2.5-14B technical report In-house English automatic evaluation, per-skill scores only, no overall: IF 74.17, Knowledge 59.78, Comprehension 69.11, Coding 52.68, Math 59.68, Reasoning 62.51 (Table 11) Capabilities
Dec 19, 2024 Qwen-Turbo technical report In-house English automatic evaluation, per-skill scores only, no overall: IF 72.76, Knowledge 58.56, Comprehension 68.70, Coding 54.48, Math 57.77, Reasoning 61.06 (Table 11) Capabilities
Jul 15, 2024 Qwen2-72B technical report 72.9 In-house English automatic evaluation Avg.: Knowledge 83.00, Comprehension 73.58, Coding 53.03, Math 82.15 (Table 11) Capabilities

More in Other

All 43 in Other
  • Personal Superintelligence Index (Meta) In use Meta's composite of seven personal and knowledge-work evals: Agents' Last Exam, AutomationBench-AA, FocusBench, JobBench, GDP.pdf, VBT and DRACO.
  • Artificial Analysis Intelligence Index v5 In use Version 5 of Artificial Analysis's index: nine evaluations in four equal categories, most with private test sets, run three times each in its own agent harness. Gemini 4 Carbon 59.0
  • SAGE v1.1 (Vals) In use Models grade handwritten undergraduate math and computer science work against rubrics. Scored by class-balanced accuracy of each rubric check against expert grading. Claude Opus 5.5 91.3%
  • MTEB Fading Massive Text Embedding Benchmark: retrieval, clustering, classification across languages and modalities. sonar 42%
  • Anthropic ECI (AECI) Only in system cards Index that combines a basket of capability benchmarks into one capability score to track trends across Anthropic models. Claude Opus 5.5 169.4
  • SPEED-Bench Only in system cards Measures speculative decoding across varied prompts and domains. Reports the average acceptance length of draft tokens, so higher means faster generation at the same output. Nemotron 3 Ultra 5.15