DeepSeek-V4-Pro-0813 is the official GA build of DeepSeek's flagship model, released August 12, 2026. A Mixture-of-Experts transformer with 1.6 trillion total parameters (49 billion active), it reached general availability through a quiet, build-tagged release on the DeepSeek API. The 0813 build succeeded the April preview the same day. Weights are MIT-licensed on Hugging Face.
Model Specifications
| Specification | DeepSeek V4 Pro 0813 |
|---|---|
| Architecture | DeepSeekMoE (Mixture-of-Experts) |
| Total parameters | 1.6T |
| Active parameters | 49B |
| Context window | 1,000,000 tokens (max output 384K) |
| Pre-training data | 33T tokens |
| Precision | FP4 (routed experts) + FP8 mixed |
| Modality | Text only |
| Reasoning modes | Non-Think / Think High / Think Max (switchable per request) |
| License | MIT (open weights) |
Key Features
- World-leading coding: LiveCodeBench 93.5% (world #1) and Codeforces rating 3206 - roughly the level of the top-23 humans.
- Efficient 1M context: Hybrid attention (CSA + HCA) uses only 27% of single-token inference FLOPs and 10% of the KV cache vs DeepSeek-V3.2 at 1M context.
- Architectural innovations: Manifold-Constrained Hyper-Connections (mHC), Muon optimizer, and Multi-Token Prediction.
- Unified reasoning modes: Non-Think, Think High, and Think Max are selectable per request within a single API model.
- Broad API compatibility: OpenAI ChatCompletions, Anthropic Messages, and Responses API.
Benchmark Highlights
- SWE-bench Verified: 80.6% (+12.8 pts vs V3.2)
- LiveCodeBench: 93.5% (world #1)
- Codeforces: 3206 Elo
- GPQA Diamond: 90.1%
- MMLU-Pro: 87.5%
- Terminal-Bench 2.1: 87.9 (up from 72.1 in the April preview)
- HMMT 2026 Feb: 95.2%
- LMArena: 1456 Elo (June 2026)
Pricing
| Tier | Cache Hit (input) | Cache Miss (input) | Output |
|---|---|---|---|
| deepseek-v4-pro | $0.003625 | $0.435 | $0.87 |
With a blended rate around $0.65 per million tokens, DeepSeek V4 Pro is roughly 46× cheaper than Claude Fable 5 ($10/$50 per million tokens) while trailing it by only ~5.3% on average across nine comparable agent benchmarks. DeepSeek has posted notice that prices will increase in the near future.
Notes
The 0813 build shipped without a blog post or fanfare; model name on the pricing page simply changed to the -0813 build tag. Independent replication of the 0813-specific benchmarks is pending - the April preview weights were still the ones hosted on Hugging Face as of August 13.
Conclusion
DeepSeek V4 Pro 0813 delivers frontier-level coding and agentic performance in an MIT-licensed, 1.6T MoE package at a fraction of closed-model prices. For developers who prioritize value, open weights, and long-context agent work, it remains one of the most compelling models on the market.
Related: Claude 3.5 Sonnet and Claude 3 Haiku. Hub: models.
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