Qwen: Qwen3.5-122B-A10B
Analysis Summary
Qwen3.5-122B-A10B is a multimodal model with vision, video input, a 262K context window, and support for tools and function calling. Its measured coding result is a clear relative strength, while its reasoning and agentic results are lower. Listed input and output rates of $0.26 and $2.08 offer a cost-conscious option for tasks that can use its coding capability.
Businesses should evaluate it for coding assistance and structured technical work, especially where image or video inputs are relevant. The lower reasoning and agentic results make it a less suitable choice for complex autonomous execution or high-stakes analysis without additional checks. Its inexpensive rates support a pilot, but production use should be based on coding task evaluations and human review of consequential outputs.
Assessed September 23, 2026
Editorial notes
Qwen3.5-122B-A10B pairs measured coding capability with vision, video input, a 262K context window, and low listed rates. Its reasoning and agentic results are more limited than its coding profile.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3.5-122B-A10B pairs measured coding capability with vision, video input, a 262K context window, and low listed rates. Its reasoning and agentic results are more limited than its coding profile.
Benchmarks
Artificial Analysis data refreshed Sep 24, 2026. Arena ratings from the Sep 13, 2026 text leaderboard, with style control.
How Qwen: Qwen3.5-122B-A10B compares
Qwen: Qwen3.5-122B-A10B ranks #135 of 428 AI models we track for overall intelligence, #72 of 198 for coding, #106 of 181 for agentic tasks. Its 262K-token context window is larger than 76% of the models we list. At $0.26 per million input tokens it is cheaper than 45% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.26 | $0.000260 |
| Output | $2.08 | $0.002080 |
What would Qwen: Qwen3.5-122B-A10B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout 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..
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 198 models, placing it in the broader range 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.