Alibaba (Qwen), proprietary

# Qwen3.5-Flash

> Qwen3.5-Flash by Alibaba (Qwen), released February 2026. Ranked #112 of 354 with a Noometry Index of 42.5. API: $0.10 in / $0.40 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen3-5-flash
- Last updated: 2026-10-10
- Title: Qwen3.5-Flash Benchmarks, Price & Rank (October 2026)

Qwen3.5-Flash by Alibaba (Qwen) ranks 112th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.5. Its strongest category is reasoning, where it ranks 72nd. API pricing starts at $0.10 per million input tokens and $0.40 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #112 of 354
- **Index score:** 42.5
- **Evidence:** Confirmed 32 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** February 23, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 66K
- **Input price:** $0.10 / M
- **Output price:** $0.40 / M
- **Blended price:** $0.18 / M
- **Output speed:** Not measured
- **Value:** #32 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video

## Category scores

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

Qwen3.5-Flash category scores

1.  Coding 34.2
2.  Reasoning 33.7
3.  Math 37.4
4.  Knowledge 43.2
5.  Multilingual 50.5
6.  Instruction Following 72.6
7.  Long Context 42.4
8.  Writing & Preference 57.9
9.  020406080

Qwen3.5-Flash category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 34.2 | #242 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 33.7 | #72 | 5 |
| [Math](https://noometry.com/best/math) | 37.4 | #158 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 43.2 | #93 | 4 |
| [Multilingual](https://noometry.com/best/multilingual) | 50.5 | #121 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 72.6 | #139 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 42.4 | #124 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 57.9 | #122 | 3 |

## Strengths and weaknesses

Categories where Qwen3.5-Flash places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen3.5-Flash: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 33.7 | +10.1 | #72 of 350, top 21% |
| [Knowledge](https://noometry.com/best/knowledge) | 43.2 | +5.9 | #93 of 314, top 30% |
| [Writing & Preference](https://noometry.com/best/writing) | 57.9 | +4.2 | #122 of 312, top 40% |

### Weakest categories

Qwen3.5-Flash: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 34.2 | −4.5 | #242 of 340, top 72% |
| [Math](https://noometry.com/best/math) | 37.4 | +0.9 | #158 of 327, top 49% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 72.6 | +1.3 | #139 of 305, top 46% |

## Closest competitors

The models ranked just above and below Qwen3.5-Flash. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen3.5-Flash
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | #108 | 42.8 | $0.42 | 328 | [Compare](https://noometry.com/compare/deepseek-v3-1-vs-qwen3-5-flash) |
| [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | #109 | 42.8 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-5-flash) |
| [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | #110 | 42.7 | — | — | [Compare](https://noometry.com/compare/gpt-5-5-instant-vs-qwen3-5-flash) |
| [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | #111 | 42.6 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-2-codex-vs-qwen3-5-flash) |
| [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | #113 | 42.5 | $0.93 | — | [Compare](https://noometry.com/compare/nemotron-3-ultra-vs-qwen3-5-flash) |
| [Hunyuan T1 20250711](https://noometry.com/models/hunyuan-t1) | #114 | 42.5 | — | — | [Compare](https://noometry.com/compare/hunyuan-t1-vs-qwen3-5-flash) |
| [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | #115 | 42.3 | $0.91 | 10 | [Compare](https://noometry.com/compare/deepseek-r1-vs-qwen3-5-flash) |
| [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) | #116 | 42.3 | $0.15 | — | [Compare](https://noometry.com/compare/qwen3-5-flash-vs-step-3-5-flash) |

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

Qwen3.5-Flash Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1244 | #103 of 113, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1412 | #126 of 294, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 221.8 | #102 of 105, top 98% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Qwen3.5-Flash Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 462.69 | #50 of 60, top 84% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Qwen3.5-Flash Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 21% | #56 of 129, top 44% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1403 | #123 of 297, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 20% | #42 of 74, top 57% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 16% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 82.9% | #60 of 151, top 40% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 29.1% | #77 of 125, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 143.98 | #88 of 213, top 42% |  | [Epoch AI](https://epoch.ai/eci) | 2026-02-25 |

### Math

Qwen3.5-Flash Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 9.5% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 18.2% | #73 of 81, top 91% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 84.4% | #72 of 173, top 42% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1407 | #118 of 285, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 6.2% | #42 of 68, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-12 |
| [FrontierMath Tier 4 (v1)](https://noometry.com/benchmarks/frontiermath-tier-4-v1) | 0% | #54 of 55, top 99% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-12 |

### Knowledge

Qwen3.5-Flash Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 82.3% | #75 of 186, top 41% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 20.3% | #64 of 77, top 84% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 10.5% | #60 of 96, top 63% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1407 | #117 of 273, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Qwen3.5-Flash Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1385 | #121 of 297, top 41% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1446 | #107 of 285, top 38% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1412 | #108 of 223, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1390 | #102 of 231, top 45% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1368 | #88 of 211, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1344 | #108 of 213, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1379 | #129 of 283, top 46% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1400 | #110 of 226, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen3.5-Flash Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1374 | #130 of 298, top 44% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen3.5-Flash Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1392 | #124 of 291, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen3.5-Flash Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1397 | #120 of 297, top 41% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1343 | #136 of 295, top 47% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1393 | #127 of 295, top 44% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Qwen3.5-Flash API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [alibaba](https://www.alibabacloud.com/help/en/model-studio/models) | $0.10 | $0.40 | $0.01 | 2026-10-10 |
| [openrouter](https://openrouter.ai/qwen/qwen3.5-flash-02-23) | $0.065 | $0.26 | — | 2026-10-10 |

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

## Compare Qwen3.5-Flash

-   [Qwen3.5-Flash vs GPT-5.2 Codex](https://noometry.com/compare/gpt-5-2-codex-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Nemotron 3 Ultra](https://noometry.com/compare/nemotron-3-ultra-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs GPT-5.5 Instant](https://noometry.com/compare/gpt-5-5-instant-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Hunyuan T1 20250711](https://noometry.com/compare/hunyuan-t1-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs GPT-5.3 Chat](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs DeepSeek-R1](https://noometry.com/compare/deepseek-r1-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen3-5-flash)
-   [Qwen3.5-Flash vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen3-5-flash)

## 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 Qwen3.5-Flash?

Qwen3.5-Flash by Alibaba (Qwen) ranks 112th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.5. Its strongest category is reasoning, where it ranks 72nd. API pricing starts at $0.10 per million input tokens and $0.40 per million output tokens, with a 1M-token context window.

### How much does Qwen3.5-Flash cost?

Qwen3.5-Flash costs $0.10 per million input tokens and $0.40 per million output tokens on Alibaba (Qwen)'s own API, with cached input at $0.01.

### What is Qwen3.5-Flash's context window?

Qwen3.5-Flash accepts up to 1M tokens of input and can write up to 66K tokens in one response.

### Is Qwen3.5-Flash open source?

No. Qwen3.5-Flash is proprietary and available only through Alibaba (Qwen)'s API and partner platforms.

### What are Qwen3.5-Flash's strengths and weaknesses?

Relative to other ranked models, Qwen3.5-Flash places best in reasoning, knowledge, writing & preference and lowest in coding, math, instruction following.

### What is Qwen3.5-Flash best at?

Its best category is reasoning, where it ranks 72nd on Noometry.

### Cite this page

Noometry. (2026). Qwen3.5-Flash benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen3-5-flash

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen3-5-flash.md).