Qwen3.5-122B-A10B: Pricing, Context Window & Benchmarks
122Bby Qwen
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 overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
What you can do with Qwen3.5-122B-A10B
Everyday Q&A and clear explanations
Writing help (emails, posts, summaries)
Idea generation and brainstorming
Learning support with step-by-step guidance
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Highlights
| Metric | Value |
|---|---|
| Provider | Qwen |
| Context Window | 262,144 tokens |
| Input Price | $0.40/1M tokens |
| Output Price | $3.20/1M tokens |
| Release Date | Feb 24, 2026 |
| Modalities | text, image, video |
| Capabilities | Vision |
Compare Qwen3.5-122B-A10B to other models
See how it stacks up on price, quality, and overall performance.
Frequently asked questions
What is Qwen3.5-122B-A10B good for?
Use Qwen3.5-122B-A10B for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Qwen3.5-122B-A10B cost?
Pricing is based on usage. Current rates are $0.40/1M tokens for input and $3.20/1M tokens for output.
Can I try Qwen3.5-122B-A10B for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Qwen3.5-122B-A10B support images or audio?
Qwen3.5-122B-A10B can understand images.
Suggested comparisons
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Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.
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