qwen-max-2025-01-25: benchmark scores, price and ranking
qwen-max-2025-01-25 from Alibaba ranks #520 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.4), based on 4 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Frontier model
- Open weights
- No
- Released
- 2025-01-25 (source: name)
- Aggregate rank
- #520 of 743 (score 46.4)
Relative to other models, qwen-max-2025-01-25 is strongest on Fiction.liveBench (#18 of 47) and weakest on Aider Polyglot (#36 of 49).
Across the 4 benchmarks where at least ten models are scored, qwen-max-2025-01-25 is in the top 10% on 0 and in the top half on 1.
qwen-max-2025-01-25 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Fiction.liveBench | 66.7% | #18 of 47 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 56.1% | #173 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
| OTIS Mock AIME | 16.1% | #134 of 189 | Epoch AI Benchmarking Hub | 2026-10-13 |
| Aider Polyglot | 21.8% | #36 of 49 | Aider polyglot leaderboard | 2026-10-13 |
About qwen-max-2025-01-25
qwen-max-2025-01-25 is a frontier model from Alibaba. It was released on 2025-01-25, according to the model's own name. No API price is listed for it yet. We hold 4 benchmark results for it across 3 areas, and none is in the top tenth of its board.
Where qwen-max-2025-01-25 stands
On our aggregate score, qwen-max-2025-01-25 is #520 of 743 ranked models, in the lower half. Its score is 46.4; the scale is centred on 50, so it sits 3.6 points below the typical model. That beats 30% of the ranked field. Among the 74 ranked Alibaba models it is #55. The next one up is Qwen3.5 Flash at 46.4. The next one down is qwen1.5-110b-chat at 46.3.
qwen-max-2025-01-25, benchmark by benchmark
Fiction.liveBench puts qwen-max-2025-01-25 at 66.7%, #18 of 47. That beats 62% of the models tested, but 27.7 points short of grok-4-0709 (94.4%). The results either side are Kimi-K2-Instruct-0905 (66.7%) and Qwen3-Max-Instruct (66.7%). It covers long-context story comprehension (16k). The board median is 61.1%, so qwen-max-2025-01-25 is 5.6 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
qwen-max-2025-01-25 lands below the middle on GPQA Diamond: 56.1%, #173 of 275, with 63% of the field scoring higher. GPT-6 Astra (max) leads at 95.8%; the closest result above is qwen3-8b at 56.8%. It covers expert-level science questions. The board median is 71.7%, so qwen-max-2025-01-25 is 15.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
qwen-max-2025-01-25 lands below the middle on OTIS Mock AIME: 16.1%, #134 of 189, with 70% of the field scoring higher. Claude Fable 5.1 (max) leads at 100.0%; the closest result above is gemini-1.5-flash-002 at 16.2%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so qwen-max-2025-01-25 is 41.7 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
qwen-max-2025-01-25 lands below the middle on Aider Polyglot: 21.8%, #36 of 49, with 71% of the field scoring higher. gemini-2.5-pro-preview-06-05 leads at 83.1%; the closest result above is gemini-2.0-flash-exp at 22.2%. It covers edits across 6 languages (225 exercises). The board median is 44.9%, so qwen-max-2025-01-25 is 23.1 points below it. Source: Aider polyglot leaderboard, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: uneven, ahead of 33% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#173 of 275) and its weakest is OTIS Mock AIME (#134 of 189).
Release history
The Alibaba model released before it was ollama/qwen2.5-coder:32b on 2024-11-12, which scores 51.9. The next one was qwen-plus-2025-01-25 on 2025-01-25, at 45.7.
Reading these numbers
The 4 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (3), Aider polyglot leaderboard (1). 1 of them come from an official leaderboard and 3 from datasets or third-party runs. With 4 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #517 Qwen2.5-7B (46.5)
- #518 qwen3-1.7b (46.5)
- #519 Qwen3.5 Flash (46.4)
- #521 Command R (08-24) (46.4)
- #522 Command R+ (08-24) (46.4)
- #523 gemini-1.5-flash-8b-exp-0827 (46.4)
More from Alibaba
- Qwen 3.6 Max (Preview) (#25, 54.1)
- Qwen3.8 Max (xhigh) (#37, 53.2)
- Qwen3.7 Max (#71, 52.3)
- ollama/qwen2.5-coder:32b (#93, 51.9)
- Qwen3 235B A22B diff, no think, Alibaba API (#122, 51.5)
- Qwen2.5-Coder-14B-Instruct (#135, 51.3)
Compare it on the live leaderboard → · How the aggregate score works