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 | 0.6 | 1 | 2 | 100.0% | C | |
| CSimpleQA | 0.8 | 1 | 7 | 100.0% | C | |
| LiveCodeBench | 0.9 | 1 | 73 | 100.0% | C | |
| MathArena Apex | 0.9 | 1 | 7 | 100.0% | C | |
| MRCR 1M | 0.8 | 1 | 3 | 100.0% | C | |
| CodeForces | 1.0 | 2 | 16 | 93.3% | C | |
| HMMT Feb 26 | 1.0 | 2 | 11 | 90.0% | C | |
| IMO-AnswerBench | 0.9 | 5 | 19 | 77.8% | C | |
| MMLU-Pro | 0.9 | 6 | 129 | 96.1% | C | |
| SWE-bench Multilingual | 0.8 | 8 | 34 | 78.8% | C | |
| SWE-Bench Verified | 0.8 | 8 | 105 | 93.3% | C | |
| SimpleQA | 0.6 | 9 | 46 | 82.2% | C | |
| FrontierSWE | 0.3 | 12 | 15 | 21.4% | B | |
| Toolathlon | 0.5 | 12 | 31 | 63.3% | C | |
| FrontierCode 1.1 | 0.2 | 13 | 15 | 14.3% | B | |
| Terminal-Bench 2.0 | 0.7 | 14 | 49 | 72.9% | C | |
| MCP Atlas | 0.7 | 16 | 31 | 50.0% | C | |
| BrowseComp | 0.8 | 17 | 58 | 71.9% | C | |
| LiveBench | 0.7 | 20 | 38 | 48.6% | B | |
| Humanity's Last Exam | 0.5 | 23 | 93 | 76.1% | C | |
| GPQA | 0.9 | 24 | 234 | 90.1% | C | |
| SWE-Bench Pro | 0.6 | 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 |
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.