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Qwen / qwen/qwen3.5-397b-a17b
Qwen: Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B 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. It delivers...
262,144
Context
65,536
Max output
$0.39 / 1M
Prompt price
2026-02-16
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Qwen | Input modalities | text, image, video |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.39 / 1M |
| Completion price | $2.34 / 1M | Request price | N/A |
| Context length | 262,144 | Max completion tokens | 65,536 |
| Supported parameters | frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p | ||
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qwen/qwen3.5-397b-a17b
Qwen: Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B 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. It delivers...
Cross-modal work
Long context
High-volume usage
Coding workflows
new
vision
tool-capable
long-context
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.