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....
Context
1.05M
Max output
393K
Price per million tokens
$0.44in$0.028cached$1.32out
Waterfall
Sampling
Tools & structure
Fastest
349 tok/s
Released
Jul 2026
Quickstart
I want you to route my LLM calls for "deepseek-v4-flash-0731" through the Experiential gateway instead of calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL and key swap. Please: 1. Point the client at https://api.experientiallabs.ai/v1 as the base URL. 2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If it isn't set, stop and tell me to create one under Settings -> API Keys and export it. 3. Use the model id "deepseek-v4-flash-0731" exactly. 4. Update every place my code builds an LLM client for this model to use that base URL and key, leaving streaming and tool-calls as they are. 5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my Experiential credits. Tell me which files you changed.
Streaming
Limits
Sending an unsupported field? See error referenceAzure OpenAI docs
| Benchmark | Score | Source |
|---|---|---|
| GPQA Diamondpublic leaderboard · Aug 2026 | 89.9% | public leaderboard · Aug 2026 |
| SWE-bench Verifiedpublic leaderboard · Aug 2026 | 88.8% | public leaderboard · Aug 2026 |
| LiveBenchpublic leaderboard · Aug 2026 | 74.2% | public leaderboard · Aug 2026 |
| Humanity's Last ExamHugging Face · Aug 2026 | 37.8% | Hugging Face · Aug 2026 |
| Terminal-BenchHugging Face · Aug 2026 | 82.7 | Hugging Face · Aug 2026 |