Deepseek V4 Flash vs Qwen 3.8 Max

Specification table

Both models are served through the same OpenAI-compatible Tokenator endpoint — switching between them means changing the model field in your request. The table below lists only the attributes Tokenator takes from its own routing configuration, with no editorial guesswork.

Quality on available benchmarks

Values come from the Artificial Analysis data loaded into the Tokenator catalog for these models. A dash means no data is loaded for that index.

Differences in purpose

Deepseek V4 Flash

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.

Qwen 3.8 Max

Qwen 3.8 Max is Alibaba’s next-generation flagship model built for complex coding, analytical, and professional workflows. It excels at full-stack development, data analysis, office automation, and long-running multi-step tasks.

Both IDs work in any tool that supports a custom base URL — see the integrations list.

Token usage

Tokenator deducts (input + output) × model multiplier from the key limit. Deepseek V4 Flash has a multiplier of 1.1× – 1.3×, Qwen 3.8 Max — 10×. A range means several upstream providers serve the model at different costs, so the final coefficient depends on which one handled the request.

See the API documentation for details on counting.

How to switch between the models

curl https://api.tokenator.top/v1/chat/completions \
  -H "Authorization: Bearer sk-your-tokenator-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

curl https://api.tokenator.top/v1/chat/completions \
  -H "Authorization: Bearer sk-your-tokenator-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-3-8-max",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

FAQ

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