Alibaba (Qwen), open weights
Qwen3.6 27B
Qwen3.6 27B by Alibaba (Qwen) ranks 117th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.2. Its strongest category is math, where it ranks 62nd. API pricing starts at $0.60 per million input tokens and $3.60 per million output tokens, with a 262K-token context window.
Last verified
Specifications
- Noometry rank
- #117 of 354
- Index score
- 42.2
- Evidence
- Confirmed 11 results
- Provider
Alibaba (Qwen)- Released
- April 22, 2026
- Weights
- Open weights
- Reasoning
- Yes
- Context window
- 262K
- Max output
- 66K
- Input price
- $0.60 / M
- Output price
- $3.60 / M
- Blended price
- $1.35 / M
- Output speed
- Not measured
- Value
- #131 of 219
- Knowledge cutoff
- Unknown
- Input
- text, image, video, audio
- Hugging Face
- Qwen/Qwen3.6-27B
Category scores
Each category score combines every public result we have in that category.
- Coding 39.1
- Reasoning 25.0
- Math 48.5
- Knowledge 52.4
- Writing & Preference 50.3
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 39.1 | #163 | 1 |
| Reasoning | 25.0 | #153 | 5 |
| Math | 48.5 | #62 | 2 |
| Knowledge | 52.4 | #63 | 1 |
| Writing & Preference | 50.3 | #181 | 1 |
Strengths and weaknesses
Categories where Qwen3.6 27B places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Writing & Preference | 50.3 | −3.5 | #181 of 312, top 59% |
| Coding | 39.1 | +0.4 | #163 of 340, top 48% |
Closest competitors
The models ranked just above and below Qwen3.6 27B. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Nemotron 3 Ultra | #113 | 42.5 | $0.93 | — | Compare |
| Hunyuan T1 20250711 | #114 | 42.5 | — | — | Compare |
| DeepSeek-R1 | #115 | 42.3 | $0.91 | 10 | Compare |
| Step 3.5 Flash | #116 | 42.3 | $0.15 | — | Compare |
| Amazon Nova Experimental Chat 10 20 | #118 | 42.1 | — | — | Compare |
| Qwen3.5 122B-A10B | #119 | 42.1 | $1.10 | — | Compare |
| Longcat Flash Chat | #120 | 42.1 | — | 69 | Compare |
| Solar Pro4 | #121 | 42.1 | $0.52 | — | Compare |
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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
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| SciCode | 37.3% | #90 of 121, top 75% | none | Epoch AI |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| CritPt | 0.9% | #85 of 134, top 64% | none | Epoch AI | |
| Chess Puzzles | 22% | #51 of 129, top 40% | Epoch AI | 2026-08-07 | |
| Chess Puzzles | 9% | none | Epoch AI | 2026-08-07 | |
| Mystery Game Puzzles | 7% | #69 of 74, top 94% | none | Epoch AI | 2026-08-27 |
| DTBench | 78.1% | #79 of 151, top 53% | Epoch AI | ||
| LMCA | 34.5% | #64 of 125, top 52% | Epoch AI | ||
| Epoch Capabilities Index | 146.5 | #72 of 213, top 34% | Epoch AI | 2026-04-22 |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| FrontierMath (Tiers 1-3) | 35.1% | #56 of 81, top 70% | Epoch AI | 2026-08-28 | |
| FrontierMath (Tiers 1-3) | 34% | none | Epoch AI | 2026-08-29 | |
| OTIS Mock AIME 2024-2025 | 91.1% | #50 of 173, top 29% | Epoch AI | 2026-08-07 | |
| OTIS Mock AIME 2024-2025 | 66.7% | none | Epoch AI | 2026-08-07 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 85.9% | #62 of 186, top 34% | Epoch AI | 2026-08-07 | |
| GPQA Diamond | 84.8% | none | Epoch AI | 2026-08-07 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| EQ-Bench 4 | 1026 | #27 of 28, top 97% | EQ-Bench |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| alibaba | $0.60 | $3.60 | — | 2026-10-10 |
| deepinfra | $0.32 | $3.20 | — | 2026-10-10 |
| groq | $0.60 | $3 | $0.30 | 2026-10-10 |
| openrouter | $0.32 | $3.20 | — | 2026-10-10 |
Compare Qwen3.6 27B
- Qwen3.6 27B vs Qwen3.6 35B-A3B
- Qwen3.6 27B vs Step 3.5 Flash
- Qwen3.6 27B vs Amazon Nova Experimental Chat 10 20
- Qwen3.6 27B vs DeepSeek-R1
- Qwen3.6 27B vs Qwen3.5 122B-A10B
- Qwen3.6 27B vs Hunyuan T1 20250711
- Qwen3.6 27B vs Longcat Flash Chat
- Qwen3.6 27B vs GPT-6 Astra
- Qwen3.6 27B vs Claude Fable 5.1
- Qwen3.6 27B vs Gemini 3.8 Flash
- Qwen3.6 27B vs Kimi K3
- Qwen3.6 27B vs Grok 4.6
- Qwen3.6 27B vs GLM-5.3
- Qwen3.6 27B vs Muse Spark 1.3
Other Alibaba (Qwen) models
- Qwen3.8 Max56.8
- Qwen3.7 Max51.5
- Qwen3.6 Max Preview51.5
- Qwen3.6 Plus47.5
- Qwen3.5 397B-A17B46.0
- Qwen3.8 27B46.0
- Qwen3.5 Max Preview45.3
- Qwen3.7 Plus45.3
Frequently asked questions
How good is Qwen3.6 27B?
Qwen3.6 27B by Alibaba (Qwen) ranks 117th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.2. Its strongest category is math, where it ranks 62nd. API pricing starts at $0.60 per million input tokens and $3.60 per million output tokens, with a 262K-token context window.
How much does Qwen3.6 27B cost?
Qwen3.6 27B costs $0.60 per million input tokens and $3.60 per million output tokens on Alibaba (Qwen)'s own API.
What is Qwen3.6 27B's context window?
Qwen3.6 27B accepts up to 262K tokens of input and can write up to 66K tokens in one response.
Is Qwen3.6 27B open source?
Yes. Qwen3.6 27B's weights are downloadable from Hugging Face (Qwen/Qwen3.6-27B); check the license for commercial terms.
What are Qwen3.6 27B's strengths and weaknesses?
Relative to other ranked models, Qwen3.6 27B places best in math, knowledge and lowest in writing & preference, coding.
What is Qwen3.6 27B best at?
Its best category is math, where it ranks 62nd on Noometry.