Qwen3.5-27B
Qwen3.5-27B is Alibaba's largest dense Qwen3.5 model, delivering near-frontier quality across reasoning, coding, and instruction following.
text + image + video → text · made by Alibaba
Sold by 16 ways
| Seller | Lane | Rate |
|---|---|---|
| Requesty aggregatornot on the seller's list today | deepinfra flex | $0.19per Mtok in$1.87per Mtok outrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | deepinfra | $0.21per Mtok in$2.08per Mtok outrouter.requesty.ai · read 2026-09-16 |
| Nous Research aggregator | standard | $0.2per Mtok in$1.56per Mtok outinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 6 ways | $0.2per Mtok in$1.56per Mtok out | |
| OpenRouter aggregator | standard | $0.2per Mtok in$1.56per Mtok outopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | siliconflow/fp8 | $0.25per Mtok in$2per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | deepinfra/fp8 | $0.26per Mtok in$2.6per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | atlas-cloud/fp8 | $0.27per Mtok in$2.16per Mtok out$0.27per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | novita/bf16 | $0.3per Mtok in$2.4per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | phala | $0.3per Mtok in$2.4per Mtok out$0.15per Mtok cachedopenrouter.ai · read 2026-08-25 |
| SiliconFlow aggregator | standard | $0.25per Mtok in$2per Mtok outmodels.dev · read 2026-09-16 |
| DeepInfra aggregator | standard | $0.26per Mtok in$2.6per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Hugging Face Inference Providers 3 ways | $0.3per Mtok in$2.4per Mtok out | |
| Hugging Face Inference Providers aggregator | deepinfra | $0.26per Mtok in$2.6per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | standard | $0.3per Mtok in$2.4per Mtok outmodels.dev · read 2026-09-16 |
| Hugging Face Inference Providers aggregator | novita | $0.3per Mtok in$2.4per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Novita AI aggregator | standard | $0.3per Mtok in$2.4per Mtok outapi.novita.ai · read 2026-08-25 |
| PPIO aggregator | standard | $1.8per Mtok in$14.4per Mtok outapi.ppinfra.com · read 2026-09-16 |
Measured 7 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 52ndof 60 | Vending bench 2 — Epoch AI | Score | 201.976 |
| 57thof 161 | Dtbench — Epoch AI | Accuracy | 82.4 |
| 57thof 123 | Lmca — Epoch AI | Score | 33.98 |
| 79thof 105 | Vectara Hallucination Leaderboard | Hallucination Rate | 12.1 |
| 92ndof 121 | Webdev arena — Epoch AI | Arena Score | 1357.46 |
| 98thof 112 | Ale bench — Epoch AI | Performance | 349.45 |
| 112thof 170 | Weirdml — Epoch AI | Accuracy | 39.53 |
About
Qwen3.5-27B — a text model from Alibaba, sold by 8 companies from $0.2 in and $1.56 out per million tokens, placed 57th of 161 on Dtbench — Epoch AI.
It takes text, images and video and returns text, with a context window of 262,144 tokens. It was published in February 2026, trained on material up to April 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under agents. Eight companies sell it. The cheapest is $0.2 in and $1.56 out per million tokens at Nous Research. Beside the standard rate there are separately routed and regional lanes. It has been measured on 7 boards, and stands best at 57th of 161 on Dtbench — Epoch AI.
Every current figure
- Maker
- Alibaba
- Register
- model
- Takes
- text + image + video
- Returns
- text
- Context
- 262,144 tokens
- Published
- February 2026
- Knowledge to
- April 2025
- Parameters
- 28 billion
- Licence
- not read
- Sellers
- 8
- Maker's own price
- not read
- Price
- $0.2 in and $1.56 out per million tokens — Nous Research
- Boards
- 7
- Best place
- 57th of 161 — Dtbench — Epoch AI
Known as 3 names
Qwen/Qwen3.5-27Bdeepinfra/Qwen/Qwen3.5-27Bdeepinfra/Qwen/Qwen3.5-27B:flex