Qwen: Qwen3.5-122B-A10B
Analysis Summary
Qwen: Qwen3.5-122B-A10B is developed by Qwen. It launched in February 2026, making it a current-generation release. On our leaderboard it earns Professional-tier status, ranking #10 of 565 models in our overall business-suitability ranking. For raw reasoning ability it ranks #56 of 374, putting it in the top quartile for overall intelligence.
For engineering teams, Qwen: Qwen3.5-122B-A10B is a standout coder, ranking #72 of 311 on our coding index for code generation, refactoring, and debugging. For agentic automation it sits at #49 of 286, handling the multi-step, tool-using tasks that power AI agents. Its 262K-token context window is larger than 81% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Qwen: Qwen3.5-122B-A10B combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.260 input and $2.08 output per 1M tokens, Qwen: Qwen3.5-122B-A10B is cost-efficient for everyday workloads so it scales comfortably across routine production traffic. Qwen: Qwen3.5-122B-A10B is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.
Editorial notes
Qwen3.5-122B-A3B combines strong reasoning, agentic capability, vision support, and a 262K context at $0.26/1M input; performance closely mirrors the 27B sibling at a modest price premium.
Assessed May 31, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3.5-122B-A10B compares
Qwen: Qwen3.5-122B-A10B ranks #56 of 374 AI models we track for overall intelligence, #72 of 311 for coding, #49 of 286 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.26 per million input tokens it is cheaper than 45% of comparable models.
About Qwen: Qwen3.5-122B-A10B
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 | 262,144 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, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3.5-122B-A10B
How much does Qwen: Qwen3.5-122B-A10B cost?
Qwen: Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens.
What is the context window of Qwen: Qwen3.5-122B-A10B?
Qwen: Qwen3.5-122B-A10B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.5-122B-A10B good for coding?
On our coding benchmark index, Qwen: Qwen3.5-122B-A10B ranks #72 of 311 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.5-122B-A10B do?
Qwen: Qwen3.5-122B-A10B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-122B-A10B?
Qwen: Qwen3.5-122B-A10B is developed by Qwen and was released on February 25, 2026.
