Qwen3.5-122B-A10B
Qwen · 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...
Qwen3.5-122B-A10B ranks #226 of 348 models in the default AI Benchmark Hub order (quality first, then cost). At $1.34 blended per million tokens, it is cheaper than 44% of models with published API pricing. Its 262,144-token context window is about the catalog median (262,144 tokens).
Context
Max output: 81920
Pricing
Output / 1M: 2.40
Blend / 1M: 1.34
Quality
Provider
Moderated: no
Monthly cost at this blended rate
Estimated API spend if every token is billed at $1.34per million (the blend of this model's input and output prices). Real bills depend on the input/output mix.
| Tokens / month | Est. cost (USD) |
|---|---|
| 1,000,000 | $1.34 |
| 10,000,000 | $13.45 |
| 100,000,000 | $134.50 |
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