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DeepSeek V4 Pro

by DeepSeek · Language Models

Context 1M tokensReasoning / thinkingFunction calling

Overview

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.

Context window1M tokens
Max output384K tokens
Input → Outputtext → text
CapabilitiesReasoning / thinking, Function calling

Pricing

$0.8547 in · $2.5641 out / 1M

UsageRate (USD)Unit
Input tokens$0.85per 1M tokens
Cached input (cache hit)$0.03per 1M tokens
Output tokens$2.56per 1M tokens

TuneRouter live platform pricing · currency: USD · pre-deduction settled by actual usage

Call it in 30 seconds

OpenAI-compatible · base URL https://api.tunerouter.com/v1/

POST/chat/completions
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

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