Alibaba (Qwen), proprietary

# Qwen2.5-Max

> Qwen2.5-Max by Alibaba (Qwen), released January 2025. Ranked #146 of 354 with a Noometry Index of 40.7. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen2-5-max
- Last updated: 2026-10-10
- Title: Qwen2.5-Max Benchmarks, Price & Rank (October 2026)

Qwen2.5-Max by Alibaba (Qwen) ranks 146th of 354 ranked models on the Noometry Index as of October 2026, with a score of 40.7. Its strongest category is coding, where it ranks 117th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #146 of 354
- **Index score:** 40.7
- **Evidence:** Confirmed 27 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** January 25, 2025
- **Weights:** Proprietary
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Qwen2.5-Max category scores

1.  Coding 41.8
2.  Reasoning 25.6
3.  Math 36.9
4.  Knowledge 35.3
5.  Multilingual 48.1
6.  Instruction Following 71.3
7.  Long Context 41.4
8.  Writing & Preference 55.4
9.  020406080

Qwen2.5-Max category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 41.8 | #117 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 25.6 | #147 | 3 |
| [Math](https://noometry.com/best/math) | 36.9 | #162 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 35.3 | #186 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 48.1 | #146 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 71.3 | #152 | 2 |
| [Long Context](https://noometry.com/best/long-context) | 41.4 | #142 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 55.4 | #146 | 5 |

## Strengths and weaknesses

Categories where Qwen2.5-Max places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen2.5-Max: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 41.8 | +3.1 | #117 of 340, top 35% |
| [Reasoning](https://noometry.com/best/reasoning) | 25.6 | +1.9 | #147 of 350, top 42% |
| [Writing & Preference](https://noometry.com/best/writing) | 55.4 | +1.6 | #146 of 312, top 47% |

### Weakest categories

Qwen2.5-Max: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 35.3 | −2.0 | #186 of 314, top 60% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 71.3 | +0.0 | #152 of 305, top 50% |
| [Math](https://noometry.com/best/math) | 36.9 | +0.3 | #162 of 327, top 50% |

## Closest competitors

The models ranked just above and below Qwen2.5-Max. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen2.5-Max
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | #142 | 41.0 | $30 | — | [Compare](https://noometry.com/compare/claude-opus-4-1-vs-qwen2-5-max) |
| [o1](https://noometry.com/models/o1) | #143 | 40.9 | $26.25 | — | [Compare](https://noometry.com/compare/o1-vs-qwen2-5-max) |
| [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | #144 | 40.8 | $0.56 | 10 | [Compare](https://noometry.com/compare/gemini-3-1-flash-lite-vs-qwen2-5-max) |
| [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | #145 | 40.8 | $6 | 31 | [Compare](https://noometry.com/compare/claude-sonnet-4-vs-qwen2-5-max) |
| [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | #147 | 40.6 | $0.0875 | — | [Compare](https://noometry.com/compare/nemotron-3-nano-30b-a3b-vs-qwen2-5-max) |
| [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | #148 | 40.5 | $0.11 | — | [Compare](https://noometry.com/compare/granite-4-2-8b-vs-qwen2-5-max) |
| [Step 3](https://noometry.com/models/step-3) | #149 | 40.5 | — | 7 | [Compare](https://noometry.com/compare/qwen2-5-max-vs-step-3) |
| [MiniMax M1](https://noometry.com/models/minimax-m1) | #150 | 40.3 | $0.96 | — | [Compare](https://noometry.com/compare/minimax-m1-vs-qwen2-5-max) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Qwen2.5-Max Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Coding](https://noometry.com/benchmarks/livebench-coding) | 64.4% | #11 of 39, top 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1359 | #168 of 294, top 58% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Qwen2.5-Max Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning) | 51.4% | #18 of 39, top 47% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1360 | #154 of 297, top 52% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Data Analysis](https://noometry.com/benchmarks/livebench-data-analysis) | 67.9% | #8 of 39, top 21% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 132.53 | #132 of 213, top 62% |  | [Epoch AI](https://epoch.ai/eci) | 2025-01-25 |
| [LiveBench](https://noometry.com/benchmarks/livebench) | 62.3% | #12 of 39, top 31% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Qwen2.5-Max Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Math](https://noometry.com/benchmarks/livebench-math) | 58.4% | #14 of 39, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1369 | #151 of 285, top 53% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Qwen2.5-Max Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Confabulations](https://noometry.com/benchmarks/confabulations) (lower is better) | 21.8% | #36 of 51, top 71% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/confabulations) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1337 | #163 of 273, top 60% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Qwen2.5-Max Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1352 | #146 of 297, top 50% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1382 | #150 of 285, top 53% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1396 | #122 of 223, top 55% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1350 | #131 of 231, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1300 | #123 of 211, top 59% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1304 | #130 of 213, top 62% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1353 | #146 of 283, top 52% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1377 | #127 of 226, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen2.5-Max Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Instruction Following](https://noometry.com/benchmarks/livebench-if) | 75.3% | #14 of 39, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1335 | #153 of 298, top 52% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen2.5-Max Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1358 | #147 of 291, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen2.5-Max Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1367 | #145 of 297, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1339 | #140 of 295, top 48% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Short-Story Creative Writing](https://noometry.com/benchmarks/lech-mazur-writing) | 72.9% | #30 of 39, top 77% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1364 | #144 of 295, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Language](https://noometry.com/benchmarks/livebench-language) | 56.3% | #6 of 39, top 16% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare Qwen2.5-Max

-   [Qwen2.5-Max vs Claude Sonnet 4](https://noometry.com/compare/claude-sonnet-4-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Nemotron 3 Nano 30B A3B](https://noometry.com/compare/nemotron-3-nano-30b-a3b-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Gemini 3.1 Flash Lite](https://noometry.com/compare/gemini-3-1-flash-lite-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Granite 4.2 8B](https://noometry.com/compare/granite-4-2-8b-vs-qwen2-5-max)
-   [Qwen2.5-Max vs o1](https://noometry.com/compare/o1-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Step 3](https://noometry.com/compare/qwen2-5-max-vs-step-3)
-   [Qwen2.5-Max vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen2-5-max)
-   [Qwen2.5-Max vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen2-5-max)
-   [Qwen2.5-Max vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen2-5-max)
-   [Qwen2.5-Max vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen2-5-max)

## Other Alibaba (Qwen) models

-   [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max)56.8
-   [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max)51.5
-   [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview)51.5
-   [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus)47.5
-   [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b)46.0
-   [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b)46.0
-   [Qwen3.5 Max Preview](https://noometry.com/models/qwen3-5-max-preview)45.3
-   [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus)45.3

## Frequently asked questions

### How good is Qwen2.5-Max?

Qwen2.5-Max by Alibaba (Qwen) ranks 146th of 354 ranked models on the Noometry Index as of October 2026, with a score of 40.7. Its strongest category is coding, where it ranks 117th.

### Is Qwen2.5-Max open source?

No. Qwen2.5-Max is proprietary and available only through Alibaba (Qwen)'s API and partner platforms.

### What are Qwen2.5-Max's strengths and weaknesses?

Relative to other ranked models, Qwen2.5-Max places best in coding, reasoning, writing & preference and lowest in knowledge, instruction following, math.

### What is Qwen2.5-Max best at?

Its best category is coding, where it ranks 117th on Noometry.

### Cite this page

Noometry. (2026). Qwen2.5-Max benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen2-5-max

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen2-5-max.md).