Alibaba (Qwen), proprietary

# Qwen3 Max

> Qwen3 Max by Alibaba (Qwen), released September 2025. Ranked #87 of 354 with a Noometry Index of 43.7. API: $1.20 in / $6 out per M tokens. 262K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen3-max
- Last updated: 2026-10-10
- Title: Qwen3 Max Benchmarks, Price & Rank (October 2026) | Noometry

Qwen3 Max by Alibaba (Qwen) ranks 87th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.7. Its strongest category is multilingual, where it ranks 62nd. API pricing starts at $1.20 per million input tokens and $6 per million output tokens, with a 262K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #87 of 354
- **Index score:** 43.7
- **Evidence:** Confirmed 33 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** September 23, 2025
- **Weights:** Proprietary
- **Reasoning:** No
- **Context window:** 262K
- **Max output:** 66K
- **Input price:** $1.20 / M
- **Output price:** $6 / M
- **Blended price:** $2.40 / M
- **Output speed:** 48 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #156 of 219
- **Knowledge cutoff:** April 2025
- **Input:** text

## Category scores

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

Qwen3 Max category scores

1.  Coding 43.0
2.  Reasoning 22.6
3.  Math 38.7
4.  Knowledge 48.1
5.  Multilingual 53.7
6.  Instruction Following 74.8
7.  Long Context 41.6
8.  Writing & Preference 62.4
9.  020406080

Qwen3 Max category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 43.0 | #93 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.6 | #190 | 7 |
| [Math](https://noometry.com/best/math) | 38.7 | #131 | 4 |
| [Knowledge](https://noometry.com/best/knowledge) | 48.1 | #78 | 3 |
| [Multilingual](https://noometry.com/best/multilingual) | 53.7 | #62 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.8 | #87 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 41.6 | #134 | 3 |
| [Writing & Preference](https://noometry.com/best/writing) | 62.4 | #76 | 3 |

## Strengths and weaknesses

Categories where Qwen3 Max places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen3 Max: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 53.7 | +6.3 | #62 of 297, top 21% |
| [Writing & Preference](https://noometry.com/best/writing) | 62.4 | +8.6 | #76 of 312, top 25% |
| [Knowledge](https://noometry.com/best/knowledge) | 48.1 | +10.8 | #78 of 314, top 25% |

### Weakest categories

Qwen3 Max: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.6 | −1.0 | #190 of 350, top 55% |
| [Long Context](https://noometry.com/best/long-context) | 41.6 | +0.7 | #134 of 296, top 46% |
| [Math](https://noometry.com/best/math) | 38.7 | +2.1 | #131 of 327, top 41% |

## Closest competitors

The models ranked just above and below Qwen3 Max. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen3 Max
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [ERNIE 5.1](https://noometry.com/models/ernie-5-1) | #83 | 43.8 | — | — | [Compare](https://noometry.com/compare/ernie-5-1-vs-qwen3-max) |
| [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | #84 | 43.8 | $1.90 | — | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-qwen3-max) |
| [MiniMax-M3](https://noometry.com/models/minimax-m3) | #85 | 43.8 | $0.52 | — | [Compare](https://noometry.com/compare/minimax-m3-vs-qwen3-max) |
| [Grok 4.3](https://noometry.com/models/grok-4-3) | #86 | 43.8 | $1.56 | — | [Compare](https://noometry.com/compare/grok-4-3-vs-qwen3-max) |
| [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | #88 | 43.6 | $0.18 | — | [Compare](https://noometry.com/compare/mimo-v2-omni-vs-qwen3-max) |
| [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant) | #89 | 43.6 | — | — | [Compare](https://noometry.com/compare/kimi-k2-5-instant-vs-qwen3-max) |
| [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | #90 | 43.5 | $0.15 | 3 | [Compare](https://noometry.com/compare/gemma-4-31b-it-vs-qwen3-max) |
| [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | #91 | 43.5 | $1.22 | 85 | [Compare](https://noometry.com/compare/qwen3-235b-a22b-vs-qwen3-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

Qwen3 Max Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1439 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1456 | #76 of 294, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 370.45 | #92 of 105, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Qwen3 Max Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 71.56 | #54 of 60, top 90% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Qwen3 Max Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 72.5% | #20 of 99, top 21% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 55.9% |  |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 11.8% |  |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 30.1% | #72 of 91, top 80% | 2026-01-23 | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 4% | #101 of 129, top 79% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-10 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1423 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1448 | #66 of 297, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 5% | #72 of 74, top 98% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 82.1% | #66 of 151, top 44% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 28.3% | #81 of 125, top 65% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 142.38 | #99 of 213, top 47% |  | [Epoch AI](https://epoch.ai/eci) | 2025-09-24 |

### Math

Qwen3 Max Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 18.9% | #71 of 81, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 73.3% | #87 of 173, top 51% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-06 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1446 | #66 of 285, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1434 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 97.1% | #6 of 79, top 8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-09 |

### Knowledge

Qwen3 Max Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 72.6% | #96 of 186, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-06 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 48.7% | #28 of 77, top 37% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1455 | #65 of 273, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1397 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Qwen3 Max Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1429 | #62 of 297, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1400 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1430 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1478 | #65 of 285, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1449 | #71 of 223, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1463 | #33 of 231, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1437 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1397 | #61 of 211, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1376 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1399 | #56 of 213, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1417 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1428 | #73 of 283, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1462 | #33 of 226, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1421 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen3 Max Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1419 | #76 of 298, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1398 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen3 Max Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Fiction.LiveBench](https://noometry.com/benchmarks/fiction-livebench) | 66.7% | #23 of 47, top 49% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CL-bench](https://noometry.com/benchmarks/cl-bench) | 14.5% | #17 of 19, top 90% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1410 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1438 | #68 of 291, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen3 Max Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1413 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1439 | #63 of 297, top 22% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1402 | #74 of 295, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1381 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1434 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1446 | #61 of 295, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Qwen3 Max API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [alibaba](https://www.alibabacloud.com/help/en/model-studio/models) | $1.20 | $6 | — | 2026-10-10 |
| [deepinfra](https://deepinfra.com/models) | $1.20 | $6 | $0.24 | 2026-10-10 |

[All Alibaba (Qwen) API prices →](https://noometry.com/llm-pricing/alibaba) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Qwen3 Max

-   [Qwen3 Max vs Qwen2.5-Max](https://noometry.com/compare/qwen2-5-max-vs-qwen3-max)
-   [Qwen3 Max vs Grok 4.3](https://noometry.com/compare/grok-4-3-vs-qwen3-max)
-   [Qwen3 Max vs MiMo-V2-Omni](https://noometry.com/compare/mimo-v2-omni-vs-qwen3-max)
-   [Qwen3 Max vs MiniMax-M3](https://noometry.com/compare/minimax-m3-vs-qwen3-max)
-   [Qwen3 Max vs Kimi K2.5 Instant](https://noometry.com/compare/kimi-k2-5-instant-vs-qwen3-max)
-   [Qwen3 Max vs GLM-5V-Turbo](https://noometry.com/compare/glm-5v-turbo-vs-qwen3-max)
-   [Qwen3 Max vs Gemma 4 31B IT](https://noometry.com/compare/gemma-4-31b-it-vs-qwen3-max)
-   [Qwen3 Max vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen3-max)
-   [Qwen3 Max vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen3-max)
-   [Qwen3 Max vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen3-max)
-   [Qwen3 Max vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen3-max)
-   [Qwen3 Max vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen3-max)
-   [Qwen3 Max vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen3-max)
-   [Qwen3 Max vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen3-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 Qwen3 Max?

Qwen3 Max by Alibaba (Qwen) ranks 87th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.7. Its strongest category is multilingual, where it ranks 62nd. API pricing starts at $1.20 per million input tokens and $6 per million output tokens, with a 262K-token context window.

### How much does Qwen3 Max cost?

Qwen3 Max costs $1.20 per million input tokens and $6 per million output tokens on Alibaba (Qwen)'s own API.

### What is Qwen3 Max's context window?

Qwen3 Max accepts up to 262K tokens of input and can write up to 66K tokens in one response.

### Is Qwen3 Max open source?

No. Qwen3 Max is proprietary and available only through Alibaba (Qwen)'s API and partner platforms.

### How fast is Qwen3 Max?

Qwen3 Max generated about 48 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are Qwen3 Max's strengths and weaknesses?

Relative to other ranked models, Qwen3 Max places best in multilingual, writing & preference, knowledge and lowest in reasoning, long context, math.

### What is Qwen3 Max best at?

Its best category is multilingual, where it ranks 62nd on Noometry.

### Cite this page

Noometry. (2026). Qwen3 Max benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen3-max

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen3-max.md).