Qwen3.6 27B
The Qwen3.6 35B-A3B native vision-language model is built on a hybrid architecture that integrates linear attention mechanisms with a sparse mixture-of-experts framework, achieving higher inference efficiency.
text + image + file → text · made by Alibaba
Free
Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn. The prices above are what you pay when it is not available to you.
- Groq
Sold by 25 ways
| Seller | Lane | Rate |
|---|---|---|
| Groq api | standard | $0.6per Mtok in$3per Mtok out$0.3per Mtok cachedmodels.dev · read 2026-11-01 |
| Thinking Machines Lab api | training | $1.86per Mtok in$5.59per Mtok out$0.37per Mtok cachedtinker-docs.thinkingmachines.ai · read 2026-08-25 |
| Groq aggregator | free | $0per Mtok in$0per Mtok outconsole.groq.com · read 2026-11-01 |
| OpenRouter 8 ways | $0.45per Mtok in$2.7per Mtok out$0.025per Mtok cached | |
| OpenRouter aggregator | reka | $0.2per Mtok in$3per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-10-24 |
| OpenRouter aggregator | chutes/fp8 | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedopenrouter.ai · read 2026-10-13 |
| OpenRouter aggregator | siliconflow/fp8 | $0.3per Mtok in$3.2per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | deepinfra/fp8 | $0.32per Mtok in$3.2per Mtok outopenrouter.ai · read 2026-08-29 |
| OpenRouter aggregator | phala | $0.32per Mtok in$3.25per Mtok out$0.03per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | venice/fp8 | $0.33per Mtok in$3.25per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $0.45per Mtok in$2.7per Mtok out$0.025per Mtok cachedopenrouter.ai · read 2026-10-31 |
| OpenRouter aggregator | alibaba | $0.45per Mtok in$2.7per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregatornot on the seller's list today | coreweave/fp8 | $0.6per Mtok in$3.6per Mtok out$0.12per Mtok cachedopenrouter.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.3per Mtok in$2.5per Mtok outapi.electronhub.ai · read 2026-11-01 |
| SiliconFlow aggregator | standard | $0.3per Mtok in$3.2per Mtok outmodels.dev · read 2026-11-01 |
| DeepInfra aggregator | standard | $0.32per Mtok in$3.2per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Featherless AI aggregator | standard | $0.32per Mtok in$2.7per Mtok outapi.featherless.ai · read 2026-09-20 |
| Hugging Face Inference Providers 3 ways | $0.47per Mtok in$3.19per Mtok out | |
| Hugging Face Inference Providers aggregator | deepinfra | $0.32per Mtok in$3.2per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | standard | $0.47per Mtok in$3.19per Mtok outmodels.dev · read 2026-11-01 |
| Hugging Face Inference Providers aggregator | ovhcloud | $0.47per Mtok in$3.19per Mtok outrouter.huggingface.co · read 2026-08-25 |
| RedPill aggregator | standard | $0.32per Mtok in$3.25per Mtok out$0.03per Mtok cachedapi.redpill.ai · read 2026-09-20 |
| Venice AI aggregator | standard | $0.33per Mtok in$3.25per Mtok outmodels.dev · read 2026-11-01 |
| Nous Research aggregator | standard | $0.45per Mtok in$2.7per Mtok out$0.2per Mtok cachedinference-api.nousresearch.com · read 2026-10-31 |
| Novita AI aggregator | standard | $0.6per Mtok in$3.6per Mtok outapi.novita.ai · read 2026-08-25 |
| Vercel AI Gateway aggregator | standard | $0.6per Mtok in$3.6per Mtok outai-gateway.vercel.sh · read 2026-08-25 |
| PPIO aggregator | standard | $3per Mtok in$18per Mtok outapi.ppinfra.com · read 2026-11-01 |
Measured 11 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 15thof 17 | SWE-rebench Leaderboard (default window 15/05/2026–01/07/2026, 111 problems) | Resolved Rate (%) | 31.2 |
| 68thof 131 | Artificial Analysis · Agentic Index | Index | 18.5 |
| 70thof 122 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score | 35.088 |
| 73rdof 163 | Artificial Analysis · Coding Index | Index | 53.7 |
| 76thof 306 | OTIS Mock AIME 2024-2025 | mean_score | 91.111 |
| 89thof 326 | GPQA Diamond | mean_score | 85.859 |
| 127thof 142 | Mystery game puzzles — Epoch AI | mean_score (none) | 7 |
| 129thof 197 | Lmca — Epoch AI | Score | 34.53 |
| 143rdof 235 | Dtbench — Epoch AI | Accuracy | 78.13 |
| 179thof 260 | Critpt — Epoch AI | Accuracy (none) | 0.857 |
| 199thof 235 | Scicode — Epoch AI | Score (none) | 37.269 |
About
Qwen3.6 27B — a text model from Alibaba, sold by 14 companies from $0.3 in and $2.5 out per million tokens, placed 76th of 306 on OTIS Mock AIME 2024-2025.
It takes text, images and files and returns text, with a context window of 32,768 tokens. It was published in April 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under extract, reasoning and code. Fourteen companies sell it. The cheapest is $0.3 in and $2.5 out per million tokens at ElectronHub. Beside the standard rate there are separately routed and regional lanes. It has been measured on 11 boards, and stands best at 76th of 306 on OTIS Mock AIME 2024-2025.
Every current figure
- Maker
- Alibaba
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 32,768 tokens
- Published
- April 2026
- Parameters
- 28 billion
- Licence
- not read
- Sellers
- 14
- Maker's own price
- not read
- Price
- $0.3 in and $2.5 out per million tokens — ElectronHub
- Boards
- 11
- Best place
- 76th of 306 — OTIS Mock AIME 2024-2025
Known as 3 names
Qwen3.6-27BQwen/Qwen3.6-27Balibaba/qwen3.6-27b