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Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.

Try in ewpireqwen/qwen3.8-2.4t-a95b

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

Qwen3.8 2.4T A95B in plain words

Qwen3.8 2.4T A95B is a text model from Qwen. It takes text as input and returns text. Its context window is 1,048,576 tokens. It costs 2.482353 credits per 1M input tokens and 7.447059 credits per 1M output tokens.

It is good at reasoning through multi-step problems and calling tools. It does not read images. A context window of 1,048,576 tokens holds about 4,200,000 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 0.012412 credits. The exact charge follows the usage the model reports for your request.

Details

Made by
Qwen
Good at
ReasoningTool use
Reads
Text
Produces
Text
Context window
1,048,576 tokens

Price

Input, per 1M tokens
2.482353 credits
Output, per 1M tokens
7.447059 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/qwen3.8-2.4t-a95b","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

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