by DeepSeek · Language Models
DeepSeek V4 Pro is DeepSeek's flagship Mixture-of-Experts model, released open-source under the MIT license on April 24, 2026, with 1.6 trillion total and roughly 49B activated parameters. It uses hybrid attention (Compressed Sparse Attention plus Heavily Compressed Attention) and a reported 1M-token context window, with three reasoning modes: Non-think, Think High and Think Max. Per reporting, its Max configuration scores 80.6% on SWE-bench Verified, the highest open-weights entry, and at 1M context it reportedly needs only about 27% of single-token inference FLOPs and 10% of the KV cache versus V3.2. Ideal for advanced reasoning, complex software engineering and long-running agentic tasks.
$0.8547 in · $2.5641 out / 1M
| Usage | Rate (USD) | Unit |
|---|---|---|
| Input tokens | $0.85 | per 1M tokens |
| Cached input (cache hit) | $0.03 | per 1M tokens |
| Output tokens | $2.56 | per 1M tokens |
TuneRouter live platform pricing · currency: USD · pre-deduction settled by actual usage
OpenAI-compatible · base URL https://api.tunerouter.com/v1/
curl https://api.tunerouter.com/v1/chat/completions \
-H "Authorization: Bearer $TUNEROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek-v4-pro", "messages": [{"role": "user", "content": "Hello!"}]}'Model ID: deepseek-v4-pro · works with OpenAI SDKs — just point base_url at api.tunerouter.com