DeepSeek model product
6T-parameter MoE model with 49B activated parameters and a 1M-token context window.
Updated Aug 12, 2026. Default version: DeepSeek V4 Pro
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for DeepSeek-V4-Pro-Max.
| CorpusQA 1M | 62.0% | 01 | 2 | 100.0% | C | |
| CSimpleQA | 84.4% | 01 | 7 | 100.0% | C | |
| LiveCodeBench | 93.5% | 01 | 73 | 100.0% | C | |
| MathArena Apex | 90.2% | 01 | 7 | 100.0% | C | |
| MRCR 1M | 83.5% | 01 | 3 | 100.0% | C | |
| CodeForces | 100.0% | 02 | 16 | 93.3% | C | |
| HMMT Feb 26 | 95.2% | 02 | 11 | 90.0% | C | |
| IMO-AnswerBench | 89.8% | 05 | 19 | 77.8% | C | |
| MMLU-Pro | 87.5% | 06 | 129 | 96.1% | C | |
| SWE-bench Multilingual | 76.2% | 08 | 34 | 78.8% | C | |
| SWE-Bench Verified | 80.6% | 08 | 105 | 93.3% | C | |
| SimpleQA | 57.9% | 09 | 46 | 82.2% | C | |
| FrontierSWE | 29.0% | 12 | 15 | 21.4% | B | |
| Toolathlon | 51.8% | 12 | 31 | 63.3% | C | |
| FrontierCode 1.1 | 17.6% | 13 | 15 | 14.3% | B | |
| Terminal-Bench 2.0 | 67.9% | 14 | 49 | 72.9% | C | |
| MCP Atlas | 73.6% | 16 | 31 | 50.0% | C | |
| BrowseComp | 83.4% | 17 | 58 | 71.9% | C | |
| LiveBench | 73.6% | 20 | 38 | 48.6% | B | |
| Humanity's Last Exam | 48.2% | 23 | 93 | 76.1% | C | |
| GPQA | 90.1% | 24 | 234 | 90.1% | C | |
| SWE-Bench Pro | 55.4% | 30 | 45 | 34.1% | C |
Preference and agent-evaluation results for the default version.
| agent steerability | overall | 24 | 0.0 | N/A | 32.4K | |
| agent | overall | 26 | -0.0 | N/A | 1.3M | |
| agent bash recovery steps | overall | 26 | 0.0 | N/A | 44.6K | |
| agent praise complaint | overall | 29 | -0.0 | N/A | 7.6K | |
| agent tool hallucination | overall | 32 | 0.0 | N/A | 1.2M | |
| agent task outcome explicit | overall | 33 | -0.0 | N/A | 19.6K | |
| text | overall | 37 | 1451.1 | 53,689 | N/A | |
| text factuality | overall | 42 | 1454.8 | 53,624 | N/A | |
| webdev | overall | 44 | 1445.1 | 12,982 | N/A | |
| text style control | overall | 49 | 1458.1 | 53,689 | N/A |
Provider-specific output speed and catalog latency for DeepSeek V4 Pro. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| UnoRouter | deepseek-v4-pro:free | global | N/A | N/A | 1M | |
| Nvidia | deepseek-ai/deepseek-v4-pro | global | $0.435 | $0.87 | 1M | |
| Pioneer | deepseek-ai/DeepSeek-V4-Pro | global | $0.435 | $0.87 | 1M | |
| ZenMux | deepseek/deepseek-v4-pro | global | $0.435 | $0.87 | 1M | |
| Merge Gateway | deepseek/deepseek-v4-pro | global | $0.435 | $0.87 | 1M | |
| Hugging Face | deepseek-ai/DeepSeek-V4-Pro | global | $0.435 | $0.87 | 1M | |
| Ofox | deepseek/deepseek-v4-pro | global | $0.45 | $0.88 | 1M | |
| CrossModel | deepseek/deepseek-v4-pro | global | $0.47 | $0.94 | 1M | |
| OrcaRouter | deepseek/deepseek-v4-pro | global | $0.56 | $1.12 | 1M | |
| OpenRouter | deepseek/deepseek-v4-pro | global | $0.6317 | $1.26 | 1M | |
| ai& | deepseek-ai/deepseek-v4-pro | global | $1 | $2.5 | 1M | |
| NanoGPT | deepseek/deepseek-v4-pro | global | $1.1 | $2.2 | 1M | |
| Weights & Biases | deepseek-ai/DeepSeek-V4-Pro | global | $1.15 | $2.55 | 1M | |
| Deep Infra | deepseek-ai/DeepSeek-V4-Pro | global | $1.3 | $2.6 | 1M | |
| GMI Cloud | deepseek-ai/DeepSeek-V4-Pro | global | $1.39 | $2.78 | 1M | |
| Kilo Gateway | deepseek/deepseek-v4-pro | global | $1.6 | $3.2 | 1M | |
| NovitaAI | deepseek/deepseek-v4-pro | global | $1.6 | $3.2 | 1M | |
| Impossibl | deepseek/deepseek-v4-pro | global | $1.74 | $3.48 | 1M | |
| Fireworks AI | accounts/fireworks/models/deepseek-v4-pro | global | $1.74 | $3.48 | 1M | |
| Baseten | deepseek-ai/DeepSeek-V4-Pro | global | $1.74 | $3.48 | 262.1K | |
| FastRouter | deepseek/deepseek-v4-pro | global | $1.74 | $3.48 | 1M | |
| ClinePass | cline-pass/deepseek-v4-pro | global | $1.74 | $3.48 | 1M | |
| SiliconFlow | deepseek-ai/DeepSeek-V4-Pro | global | $1.74 | $3.48 | 1M | |
| Abacus | deepseek-ai/DeepSeek-V4-Pro | global | $1.74 | $3.48 | 1M | |
| Together AI | deepseek-ai/DeepSeek-V4-Pro | global | $1.74 | $3.48 | 512K | |
| HPC-AI | deepseek/deepseek-v4-pro | global | $1.74 | $3.48 | 1M | |
| Nebius Token Factory | deepseek-ai/DeepSeek-V4-Pro | global | $1.75 | $3.5 | 1M | |
| TensorX | deepseek/deepseek-v4-pro | global | $1.75 | $3.5 | 1M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| DeepSeek V4 Pro | N/A | N/A | 1M | 384K | Yes | Unspecified | |
| DeepSeek-V4-Pro-Max | 73.8 | 1.6T | 1M | 393.2K | No | MIT |
Key information about DeepSeek-V4-Pro and its available data.
6T-parameter MoE model with 49B activated parameters and a 1M-token context window. 2 at 1M-token context. The model also incorporates Manifold-Constrained Hyper-Connections (mHC) for stable signal propagation and is trained with the Muon optimizer for faster convergence.
Pre-trained on more than 32T tokens, V4-Pro-Max significantly advances open-source knowledge capabilities, achieves top-tier performance in coding benchmarks, and bridges the gap with leading closed-source models on reasoning and agentic tasks.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about DeepSeek-V4-Pro.
DeepSeek-V4-Pro's default version was released on Apr 24, 2026.
DeepSeek-V4-Pro's official API price is $0.435 per million input tokens and $0.87 per million output tokens via DeepSeek. The lowest tracked third-party offer starts at $0.435 input and $0.87 output via Nvidia.
DeepSeek-V4-Pro was created by DeepSeek.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under an unspecified license.
30 provider offerings are linked to the default version.
Nearby ranked alternatives include GPT-5.6-Luna, GPT-5.5-Pro, Kimi K2.6.