Qwen3.5-122B-A10B
Qwen3.5-122B-A10B is a large Mixture-of-Experts model from Alibaba's Qwen3.5 series with 122B total parameters and 10B activated per token.
text + image + video → text · made by Alibaba
Sold by 15 ways
| Seller | Lane | Rate |
|---|---|---|
| Databricks cloud | standard | $0.22per Mtok in$2.2per Mtok out$0.22per Mtok cached$0.22per Mtok cache writeraw.githubusercontent.com · read 2026-09-16 |
| Nous Research aggregator | standard | $0.26per Mtok in$2.08per Mtok outinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 6 ways | $0.26per Mtok in$2.08per Mtok out | |
| OpenRouter aggregator | standard | $0.26per Mtok in$2.08per Mtok outopenrouter.ai · read 2026-09-10 |
| OpenRouter aggregator | alibaba | $0.26per Mtok in$2.08per Mtok outopenrouter.ai · read 2026-08-29 |
| OpenRouter aggregator | siliconflow/fp8 | $0.26per Mtok in$2.08per Mtok outopenrouter.ai · read 2026-08-30 |
| OpenRouter aggregator | deepinfra/fp4 | $0.29per Mtok in$2.4per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | atlas-cloud/fp8 | $0.3per Mtok in$2.4per Mtok out$0.3per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | novita/bf16 | $0.4per Mtok in$3.2per Mtok outopenrouter.ai · read 2026-08-25 |
| SiliconFlow aggregator | standard | $0.26per Mtok in$2.08per Mtok outmodels.dev · read 2026-09-16 |
| DeepInfra aggregator | standard | $0.29per Mtok in$2.4per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Hugging Face Inference Providers 3 ways | $0.4per Mtok in$3.2per Mtok out | |
| Hugging Face Inference Providers aggregator | deepinfra | $0.29per Mtok in$2.4per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | standard | $0.4per Mtok in$3.2per Mtok outmodels.dev · read 2026-09-16 |
| Hugging Face Inference Providers aggregator | novita | $0.4per Mtok in$3.2per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Novita AI aggregator | standard | $0.4per Mtok in$3.2per Mtok outapi.novita.ai · read 2026-08-25 |
| PPIO aggregator | standard | $2per Mtok in$16per Mtok outapi.ppinfra.com · read 2026-09-16 |
Measured 11 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 21stof 262 | MMLU-Pro | Overall (accuracy) | 0.867 |
| 48thof 161 | Dtbench — Epoch AI | Accuracy (none) | 84.27 |
| 60thof 123 | Lmca — Epoch AI | Score (none) | 32.23 |
| 66thof 127 | Mystery game puzzles — Epoch AI | mean_score (none) | 17 |
| 71stof 105 | Vectara Hallucination Leaderboard | Hallucination Rate | 11.2 |
| 95thof 143 | Artificial Analysis · Agentic Index | Index | 9.6 |
| 101stof 184 | Artificial Analysis · Coding Index | Index | 45.7 |
| 118thof 177 | Critpt — Epoch AI | Accuracy (none) | 0.857 |
| 130thof 302 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index | 18 |
| 139thof 168 | Scicode — Epoch AI | Score (none) | 35.648 |
| 292ndof 656 | Epoch capabilities index — Epoch AI | ECI Score (none) | 146.26 |
About
Qwen3.5-122B-A10B — a text model from Alibaba, sold by 8 companies from $0.22 in and $2.2 out per million tokens, placed 21st of 262 on MMLU-Pro.
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 extract and reasoning. Eight companies sell it. The cheapest is $0.22 in and $2.2 out per million tokens at Databricks. Beside the standard rate there are separately routed and regional lanes. It has been measured on 11 boards, and stands best at 21st of 262 on MMLU-Pro.
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
- 125 billion
- Licence
- not read
- Sellers
- 8
- Maker's own price
- not read
- Price
- $0.22 in and $2.2 out per million tokens — Databricks
- Boards
- 11
- Best place
- 21st of 262 — MMLU-Pro
Known as 1 name
Qwen/Qwen3.5-122B-A10B