DeepSeek-V4-Pro is DeepSeek's flagship open-source large language model, released on April 24, 2026 under the MIT License. Built on a Mixture-of-Experts (MoE) architecture with 1.6 trillion total parameters and 49 billion active parameters, it supports a 1-million-token context window and delivers frontier-level performance in coding, mathematics, and reasoning at a fraction of the cost of comparable closed-source models.
- Massive Scale, Efficient Inference: 1.6T total parameters with only 49B activated per forward pass via MoE, achieving frontier performance while keeping inference costs low — roughly 1/20th the price of Claude Opus 4.7.
- 1M-Token Context Window: Supports up to 1 million input tokens and 384K maximum output tokens, enabled by a hybrid attention mechanism combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) that reduces single-token inference FLOPs to 27% and KV cache to 10% compared to DeepSeek-V3.2.
- Top-Tier Coding Performance: Achieves 80.6% on SWE-bench Verified (within 0.2 points of Claude Opus 4.6), 67.9% on Terminal-Bench 2.0, 93.5% on LiveCodeBench, and a 3206 Codeforces rating.
- Advanced Tool Use: Scores 73.6 on MCPAtlas Public, supports up to 128 parallel function calls, and ships with pre-tuned adapters for Claude Code, OpenCode, OpenClaw, and CodeBuddy.
- Software Engineering Agents: With 80.6% on SWE-bench Verified and strong tool-use capabilities, V4-Pro is well-suited for autonomous coding agents that need to navigate large codebases.
- Long-Document Analysis: The 1M-token context window enables processing of entire codebases, legal corpora, or research paper collections in a single pass.
- Cost-Sensitive Frontier Workloads: For teams that need near-frontier reasoning and coding at open-source economics, V4-Pro offers the best performance-per-dollar ratio in its class.
| Capability | Description |
|---|
| Reasoning | Matches leading closed-source models on math and STEM; 95.2% on HMMT 2026 |
| Coding | 80.6% SWE-bench Verified, 93.5% LiveCodeBench, 3206 Codeforces rating |
| Multimodal | Text-only; multimodal capabilities are in development |
| Response Speed | Optimized for long-context efficiency via CSA/HCA hybrid attention |
| Context Window | 1,000,000 tokens |
| Max Output | 384,000 tokens |
| Tool Use | Function calling with up to 128 parallel calls; 73.6 on MCPAtlas Public |
| Multilingual | Broad multilingual support; strongest in English and Chinese |
- Text-only — no image, audio, or video understanding or generation.
- Trails GPT-5.4 and Gemini 3.1-Pro on world knowledge benchmarks by a margin DeepSeek estimates at 3–6 months of development.
- May underperform on tasks requiring creative writing or highly nuanced reasoning compared to top closed-source models.
| Model | Input (Credits/Token) | Output (Credits/Token) | Notes |
|---|
| DeepSeek-V4-Pro | 0.435 | 0.87 | 1M context, 384K max output |
