QwenAvailable

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.

Try in ewpireqwen/qwen3.5-397b-a17b

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

Qwen3.5 397B A17B in plain words

Qwen3.5 397B A17B is a text model from Qwen. It takes text, images, and video as input and returns text. Its context window is 262,144 tokens. It costs 0.620589 credits per 1M input tokens and 4.468236 credits per 1M output tokens.

It is good at reasoning through multi-step problems and calling tools. It reads images as well as text. A context window of 262,144 tokens holds about 1,000,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.00571 credits. The exact charge follows the usage the model reports for your request.

Details

Made by: Qwen
Good at: ReasoningVisionTool use
Reads: Text, Images, Video
Produces: Text
Context window: 262,144 tokens

Price

Input, per 1M tokens: 0.620589 credits
Output, per 1M tokens: 4.468236 credits

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.5-397b-a17b","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

Qwen3.5 397B A17B in plain words

Details

Price

In the API – coming soon

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