Alibaba (Qwen), open weights

# Qwen3.6 35B-A3B

> Qwen3.6 35B-A3B by Alibaba (Qwen), released April 2026. Ranked #201 of 354 with a Noometry Index of 37.6. API: $0.25 in / $1.49 out per M tokens. 262K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen3-6-35b-a3b
- Last updated: 2026-10-10
- Title: Qwen3.6 35B-A3B Benchmarks, Price & Rank (October 2026)

Qwen3.6 35B-A3B by Alibaba (Qwen) ranks 201st of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.6. Its strongest category is knowledge, where it ranks 68th. API pricing starts at $0.25 per million input tokens and $1.49 per million output tokens, with a 262K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #201 of 354
- **Index score:** 37.6
- **Evidence:** Confirmed 14 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** April 1, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 262K
- **Max output:** 66K
- **Input price:** $0.25 / M
- **Output price:** $1.49 / M
- **Blended price:** $0.56 / M
- **Output speed:** Not measured
- **Value:** #86 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video, audio
- **Hugging Face:** [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B)

## Category scores

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

Qwen3.6 35B-A3B category scores

1.  Coding 37.2
2.  Agentic & Tool Use 22.1
3.  Reasoning 28.0
4.  Math 38.9
5.  Knowledge 51.3
6.  0204060

Qwen3.6 35B-A3B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 37.2 | #196 | 2 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 22.1 | #134 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 28.0 | #109 | 7 |
| [Math](https://noometry.com/best/math) | 38.9 | #121 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 51.3 | #68 | 1 |

## Strengths and weaknesses

Categories where Qwen3.6 35B-A3B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen3.6 35B-A3B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 51.3 | +14.0 | #68 of 314, top 22% |
| [Reasoning](https://noometry.com/best/reasoning) | 28.0 | +4.4 | #109 of 350, top 32% |

### Weakest categories

Qwen3.6 35B-A3B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 22.1 | −8.3 | #134 of 154, top 88% |
| [Coding](https://noometry.com/best/coding) | 37.2 | −1.5 | #196 of 340, top 58% |

## Closest competitors

The models ranked just above and below Qwen3.6 35B-A3B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen3.6 35B-A3B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Gemini Advanced 0514](https://noometry.com/models/gemini-advanced) | #197 | 37.7 | — | — | [Compare](https://noometry.com/compare/gemini-advanced-vs-qwen3-6-35b-a3b) |
| [Grok 2 Mini 2024 08 13](https://noometry.com/models/grok-2-mini) | #198 | 37.7 | — | — | [Compare](https://noometry.com/compare/grok-2-mini-vs-qwen3-6-35b-a3b) |
| [Mercury](https://noometry.com/models/mercury) | #199 | 37.6 | — | 35 | [Compare](https://noometry.com/compare/mercury-vs-qwen3-6-35b-a3b) |
| [DeepSeek-V2.5 (Sep 2024)](https://noometry.com/models/deepseek-v2-5) | #200 | 37.6 | — | — | [Compare](https://noometry.com/compare/deepseek-v2-5-vs-qwen3-6-35b-a3b) |
| [Hunyuan Large Vision](https://noometry.com/models/hunyuan-large-vision) | #202 | 37.6 | — | — | [Compare](https://noometry.com/compare/hunyuan-large-vision-vs-qwen3-6-35b-a3b) |
| [Llama 3.1 Nemotron 70b Instruct](https://noometry.com/models/llama-3-1-nemotron-70b-instruct) | #203 | 37.6 | — | — | [Compare](https://noometry.com/compare/llama-3-1-nemotron-70b-instruct-vs-qwen3-6-35b-a3b) |
| [MiniMax-M2](https://noometry.com/models/minimax-m2) | #204 | 37.4 | $0.52 | 17 | [Compare](https://noometry.com/compare/minimax-m2-vs-qwen3-6-35b-a3b) |
| [Granite 4.1 8b](https://noometry.com/models/granite-4-1-8b) | #205 | 37.4 | — | — | [Compare](https://noometry.com/compare/granite-4-1-8b-vs-qwen3-6-35b-a3b) |

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

Qwen3.6 35B-A3B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SciCode](https://noometry.com/benchmarks/scicode) | 35.8% | #96 of 121, top 80% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 1.3% |  | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 34.5% | #93 of 119, top 79% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Qwen3.6 35B-A3B Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) | 23% | #36 of 41, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Qwen3.6 35B-A3B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 41.6% | #65 of 91, top 72% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 0.3% | #100 of 134, top 75% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 0% |  | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 26% | #42 of 129, top 33% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 4% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 22% | #38 of 74, top 52% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 73.9% | #89 of 151, top 59% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 29.7% | #72 of 125, top 58% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Surface Evolver Bench](https://noometry.com/benchmarks/surface-evolver-bench) | 44.4% | #19 of 25, top 76% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 143.93 | #89 of 213, top 42% |  | [Epoch AI](https://epoch.ai/eci) | 2026-04-14 |

### Math

Qwen3.6 35B-A3B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 17.5% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-29 |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 20.4% | #68 of 81, top 84% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 86.7% | #65 of 173, top 38% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 68.9% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |

### Knowledge

Qwen3.6 35B-A3B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 83.8% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 84.8% | #66 of 186, top 36% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |

## API pricing by provider

Qwen3.6 35B-A3B API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [alibaba](https://www.alibabacloud.com/help/en/model-studio/models) | $0.25 | $1.49 | — | 2026-10-10 |
| [deepinfra](https://deepinfra.com/models) | $0.10 | $0.95 | $0.10 | 2026-10-10 |
| [openrouter](https://openrouter.ai/qwen/qwen3.6-35b-a3b) | $0.15 | $1 | $0.05 | 2026-10-10 |

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

## Compare Qwen3.6 35B-A3B

-   [Qwen3.6 35B-A3B vs Qwen3.5 122B-A10B](https://noometry.com/compare/qwen3-5-122b-a10b-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs DeepSeek-V2.5 (Sep 2024)](https://noometry.com/compare/deepseek-v2-5-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Hunyuan Large Vision](https://noometry.com/compare/hunyuan-large-vision-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Mercury](https://noometry.com/compare/mercury-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Llama 3.1 Nemotron 70b Instruct](https://noometry.com/compare/llama-3-1-nemotron-70b-instruct-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Grok 2 Mini 2024 08 13](https://noometry.com/compare/grok-2-mini-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs MiniMax-M2](https://noometry.com/compare/minimax-m2-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen3-6-35b-a3b)
-   [Qwen3.6 35B-A3B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen3-6-35b-a3b)

## 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 Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B by Alibaba (Qwen) ranks 201st of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.6. Its strongest category is knowledge, where it ranks 68th. API pricing starts at $0.25 per million input tokens and $1.49 per million output tokens, with a 262K-token context window.

### How much does Qwen3.6 35B-A3B cost?

Qwen3.6 35B-A3B costs $0.25 per million input tokens and $1.49 per million output tokens on Alibaba (Qwen)'s own API.

### What is Qwen3.6 35B-A3B's context window?

Qwen3.6 35B-A3B accepts up to 262K tokens of input and can write up to 66K tokens in one response.

### Is Qwen3.6 35B-A3B open source?

Yes. Qwen3.6 35B-A3B's weights are downloadable from Hugging Face (Qwen/Qwen3.6-35B-A3B); check the license for commercial terms.

### What are Qwen3.6 35B-A3B's strengths and weaknesses?

Relative to other ranked models, Qwen3.6 35B-A3B places best in knowledge, reasoning and lowest in agentic & tool use, coding.

### What is Qwen3.6 35B-A3B best at?

Its best category is knowledge, where it ranks 68th on Noometry.

### Cite this page

Noometry. (2026). Qwen3.6 35B-A3B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen3-6-35b-a3b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen3-6-35b-a3b.md).