DeepSeek V4 Flash 0731
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. This is the GA release of DeepSeek V4 Flash.
deepseek/deepseek-v4-flash-0731
- Context
- 1M tokens
- Completion cap
- 384,000
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-07-31
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4-flash-0731",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is DeepSeek V4 Flash 0731?
- 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. This is the GA release of DeepSeek V4 Flash. DeepSeek V4 Flash 0731 runs on the Geek Hub API (OpenAI-compatible). Model id: deepseek/deepseek-v4-flash-0731.
- Is DeepSeek V4 Flash 0731 free?
- No. Input is $0.0872 per 1M tokens and output is $0.1962 per 1M tokens on Geek Hub (markup included).
- What is the context length of DeepSeek V4 Flash 0731?
- DeepSeek V4 Flash 0731 has a 1M tokens context window. It supports up to 384,000 completion tokens.
- Does DeepSeek V4 Flash 0731 support tool calling and structured outputs?
- DeepSeek V4 Flash 0731 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was DeepSeek V4 Flash 0731 released?
- DeepSeek V4 Flash 0731 was released on 2026-07-31.
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