Qwen: Qwen3.5-122B-A10B
Qwen3.5-122B-A10B is a Qwen model that accepts text, image, and video input and returns text. It offers a 262,144-token context window with up to 65,536 completion tokens, which leaves room for long documents or extended outputs in a single call. It supports tool calling and a reasoning mode. The listing does not confirm structured output support or open weights, so buyers who need either should verify before committing. At $0.26 per million input tokens and $2.08 per million output tokens, it sits at a low price point, and the 8x output premium means input-heavy workloads benefit most. Its blended score of 54.9 rests on only three benchmarks. The split is uneven: 75.4 on the coding index, 53.3 on the general index, and 34.2 on the agentic index. That profile suits teams shortlisting an affordable model for coding or multimodal analysis. Those planning autonomous agent workflows should test it against alternatives first.
Benchmark results
Independent, published benchmarks. Blended score 54.9 across 3 benchmarks, last refreshed 2026-11-08. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 53.3 |
| AI Index Coding | software engineering tasks | 75.4 |
| AI Index Agentic | multi-step tool-using tasks | 34.2 |
- Model ID
- qwen/qwen3.5-122b-a10b
- Vendor
- qwen
- Released
- February 2026
- Tokenizer
- Qwen3
- Input Modalities
- text, image, video
- Output Modalities
- text
- Max Output
- 65,536 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.26/M input and $2.08/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.23 |
| A month of a busy support chatbot | 5M in / 2M out | $5.46 |
Price & spec history
Tracked daily by PicksByModel since 2026-07-17.
| Date | Input /M | Output /M | Context |
|---|---|---|---|
| 2026-10-26 | $0.26 | $2.08 | 262,144 |
| 2026-10-22 | $0.40 | $3.20 | 262,144 |
| 2026-09-10 | $0.26 | $2.08 | 262,144 |
| 2026-08-29 | $0.29 | $2.40 | 262,144 |
| 2026-08-19 | $0.26 | $2.08 | 262,144 |
| 2026-08-07 | $0.29 | $2.40 | 262,144 |
| 2026-08-04 | $0.26 | $2.08 | 262,144 |
| 2026-08-03 | $0.40 | $3.20 | 262,144 |
| 2026-07-17 | $0.26 | $2.08 | 262,144 |
Category rankings
Where Qwen: Qwen3.5-122B-A10B places across the 5 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #16 | Video SummarizationVideo · of 25 ranked | 146 |
| #23 | Customer SupportBusiness · of 25 ranked | 131 |
| #23 | Image CaptioningVision · of 25 ranked | 120 |
| #23 | Dataset AnnotationResearch · of 25 ranked | 141 |
| #25 | Bulk Data LabelingData · of 25 ranked | 133 |
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Quick answers
- How much does Qwen: Qwen3.5-122B-A10B cost?
- $0.26 per million input tokens and $2.08 per million output tokens.
- What is Qwen: Qwen3.5-122B-A10B's context window?
- 262,144 tokens, roughly 393 pages of text in a single request.
- Does Qwen: Qwen3.5-122B-A10B support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Qwen: Qwen3.5-122B-A10B process images?
- Yes, it accepts image input.