Qwen: Qwen3.5-122B-A10B
Analysis Summary
Qwen: Qwen3.5-122B-A10B sits in the Professional tier on our leaderboard, ranked #47 of 556 published models on overall intelligence. At $0.260 input and $2.08 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.
Editorial notes
Qwen3.5-122B-A10B is a large MoE model with strong reasoning, agentic capability, vision, and a 262K context at low cost, though the Qwen provider penalty applies.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.5-122B-A10B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3.5-122b-a10b
|
| Provider | qwen |
| Release Date | February 25, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.26 | $0.000260 |
| Output | $2.08 | $0.002080 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
