Alibaba (Qwen), proprietary

# Qwen3.7 Plus

> Qwen3.7 Plus by Alibaba (Qwen), released June 2026. Ranked #72 of 354 with a Noometry Index of 45.3. API: $0.40 in / $1.60 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen3-7-plus
- Last updated: 2026-10-10
- Title: Qwen3.7 Plus Benchmarks, Price & Rank (October 2026)

Qwen3.7 Plus by Alibaba (Qwen) ranks 72nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 45.3. Its strongest category is multimodal, where it ranks 33rd. API pricing starts at $0.40 per million input tokens and $1.60 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #72 of 354
- **Index score:** 45.3
- **Evidence:** Confirmed 32 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** June 2, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 131K
- **Input price:** $0.40 / M
- **Output price:** $1.60 / M
- **Blended price:** $0.70 / M
- **Output speed:** Not measured
- **Value:** #87 of 219
- **Knowledge cutoff:** April 2025
- **Input:** text, image, video

## Category scores

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

Qwen3.7 Plus category scores

1.  Coding 36.6
2.  Agentic & Tool Use 21.4
3.  Reasoning 39.3
4.  Math 50.5
5.  Knowledge 54.9
6.  Multimodal 41.8
7.  Multilingual 54.8
8.  Instruction Following 75.8
9.  Long Context 44.5
10.  Writing & Preference 64.3
11.  020406080

Qwen3.7 Plus category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 36.6 | #206 | 3 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 21.4 | #138 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 39.3 | #59 | 7 |
| [Math](https://noometry.com/best/math) | 50.5 | #56 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 54.9 | #51 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 41.8 | #33 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 54.8 | #38 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.8 | #52 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.5 | #65 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 64.3 | #56 | 3 |

## Strengths and weaknesses

Categories where Qwen3.7 Plus places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen3.7 Plus: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 54.8 | +7.4 | #38 of 297, top 13% |
| [Knowledge](https://noometry.com/best/knowledge) | 54.9 | +17.6 | #51 of 314, top 17% |
| [Reasoning](https://noometry.com/best/reasoning) | 39.3 | +15.7 | #59 of 350, top 17% |

### Weakest categories

Qwen3.7 Plus: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 21.4 | −9.0 | #138 of 154, top 90% |
| [Coding](https://noometry.com/best/coding) | 36.6 | −2.1 | #206 of 340, top 61% |
| [Multimodal](https://noometry.com/best/multimodal) | 41.8 | +3.2 | #33 of 128, top 26% |

## Closest competitors

The models ranked just above and below Qwen3.7 Plus. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen3.7 Plus
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | #68 | 46.0 | $1.11 | — | [Compare](https://noometry.com/compare/qwen3-7-plus-vs-qwen3-8-27b) |
| [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | #69 | 45.8 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-3-codex-vs-qwen3-7-plus) |
| [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo) | #70 | 45.8 | — | — | [Compare](https://noometry.com/compare/kimi-k2-thinking-turbo-vs-qwen3-7-plus) |
| [Qwen3.5 Max Preview](https://noometry.com/models/qwen3-5-max-preview) | #71 | 45.3 | — | — | [Compare](https://noometry.com/compare/qwen3-5-max-preview-vs-qwen3-7-plus) |
| [Hy4 preview](https://noometry.com/models/hy4-preview) | #73 | 45.3 | $1.13 | — | [Compare](https://noometry.com/compare/hy4-preview-vs-qwen3-7-plus) |
| [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | #74 | 45.2 | $0.54 | — | [Compare](https://noometry.com/compare/mimo-v2-5-pro-vs-qwen3-7-plus) |
| [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | #75 | 45.0 | $3.44 | 5 | [Compare](https://noometry.com/compare/gemini-2-5-pro-vs-qwen3-7-plus) |
| [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | #76 | 45.0 | $1.69 | 10 | [Compare](https://noometry.com/compare/gpt-5-4-mini-vs-qwen3-7-plus) |

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

Qwen3.7 Plus Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 10.2% | #36 of 37, top 98% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 45.5% | #58 of 121, top 48% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1473 | #53 of 294, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Agentic & Tool Use

Qwen3.7 Plus Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2) | 2.8% | #9 of 9, top 100% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Qwen3.7 Plus Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 74.8% | #44 of 91, top 49% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 9.1% | #51 of 134, top 39% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 24% | #47 of 129, top 37% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 9% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1460 | #49 of 297, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 17% | #53 of 74, top 72% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 17% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 84% | #57 of 151, top 38% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 37.6% | #55 of 125, top 44% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 147.37 | #65 of 213, top 31% |  | [Epoch AI](https://epoch.ai/eci) | 2026-06-02 |

### Math

Qwen3.7 Plus Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 34.4% | #58 of 81, top 72% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-29 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 93.3% | #44 of 173, top 26% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 80% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1466 | #44 of 285, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Qwen3.7 Plus Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 87.9% | #50 of 186, top 27% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 81.8% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1467 | #51 of 273, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Qwen3.7 Plus Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1279 | #30 of 122, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1444 | #25 of 38, top 66% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

Qwen3.7 Plus Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1445 | #38 of 297, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1510 | #37 of 285, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1473 | #33 of 223, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1471 | #26 of 231, top 12% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1413 | #47 of 211, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1415 | #39 of 213, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1457 | #37 of 283, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1457 | #40 of 226, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen3.7 Plus Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1440 | #49 of 298, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen3.7 Plus Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1455 | #48 of 291, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen3.7 Plus Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1455 | #40 of 297, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1439 | #38 of 295, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1460 | #39 of 295, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Qwen3.7 Plus API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [alibaba](https://www.alibabacloud.com/help/en/model-studio/models) | $0.40 | $1.60 | $0.04 | 2026-10-10 |
| [openrouter](https://openrouter.ai/qwen/qwen3.7-plus) | $0.32 | $1.28 | $0.064 | 2026-10-10 |

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

## Compare Qwen3.7 Plus

-   [Qwen3.7 Plus vs Qwen3.6 Plus](https://noometry.com/compare/qwen3-6-plus-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Qwen3.5 Max Preview](https://noometry.com/compare/qwen3-5-max-preview-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Hy4 preview](https://noometry.com/compare/hy4-preview-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Kimi K2 Thinking Turbo](https://noometry.com/compare/kimi-k2-thinking-turbo-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs MiMo-V2.5-Pro](https://noometry.com/compare/mimo-v2-5-pro-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs GPT-5.3 Codex](https://noometry.com/compare/gpt-5-3-codex-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Gemini 2.5 Pro](https://noometry.com/compare/gemini-2-5-pro-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen3-7-plus)
-   [Qwen3.7 Plus vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen3-7-plus)

## 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 Max](https://noometry.com/models/qwen3-max)43.7

## Frequently asked questions

### How good is Qwen3.7 Plus?

Qwen3.7 Plus by Alibaba (Qwen) ranks 72nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 45.3. Its strongest category is multimodal, where it ranks 33rd. API pricing starts at $0.40 per million input tokens and $1.60 per million output tokens, with a 1M-token context window.

### How much does Qwen3.7 Plus cost?

Qwen3.7 Plus costs $0.40 per million input tokens and $1.60 per million output tokens on Alibaba (Qwen)'s own API, with cached input at $0.04.

### What is Qwen3.7 Plus's context window?

Qwen3.7 Plus accepts up to 1M tokens of input and can write up to 131K tokens in one response.

### Is Qwen3.7 Plus open source?

No. Qwen3.7 Plus is proprietary and available only through Alibaba (Qwen)'s API and partner platforms.

### What are Qwen3.7 Plus's strengths and weaknesses?

Relative to other ranked models, Qwen3.7 Plus places best in multilingual, knowledge, reasoning and lowest in agentic & tool use, coding, multimodal.

### What is Qwen3.7 Plus best at?

Its best category is multimodal, where it ranks 33rd on Noometry.

### Cite this page

Noometry. (2026). Qwen3.7 Plus benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen3-7-plus

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen3-7-plus.md).