# DeepSeek-V4 Pro Max ![Organization](https://img.shields.io/badge/Org-DeepSeek-3b82f6) ![License](https://img.shields.io/badge/License-Proprietary-d29922) ![Released](https://img.shields.io/badge/Released-Feb%202026-555) > **Quick answer:** DeepSeek-V4 Pro Max is DeepSeek's February 2026 most powerful model, scoring 93.5% on LiveCodeBench, 87.5% on MMLU-Pro, and 48.2% on Humanity's Last Exam. A proprietary (non-open-weight) model, it represents DeepSeek's shift to closed weights for their top-tier offering. ## At a Glance **Where DeepSeek-V4 Pro Max leads** - 93.5% LiveCodeBench — near-ceiling competitive coding performance - 87.5% MMLU-Pro — state-of-the-art academic knowledge - 48.2% Humanity's Last Exam — strong frontier task performance - Strongest DeepSeek model at its release date - Low-cost API access (DeepSeek's characteristic pricing) **Where it lags** - Proprietary: closed weights, no self-hosting - No MIT/Apache open license (unlike V3 and V3.2) - Text-only **Best for:** Maximum DeepSeek capability for coding and academic tasks; production API deployments requiring top-tier performance. ## What DeepSeek-V4 Pro Max Is DeepSeek-V4 Pro Max (released February 2026) is DeepSeek's flagship model in the V4 generation. Unlike prior DeepSeek models (V2, V3, R1) which were open-weight with MIT or permissive licenses, V4 Pro Max is proprietary — accessible only via the DeepSeek API. The model achieves 93.5% LiveCodeBench — among the highest coding scores publicly reported — and 87.5% MMLU-Pro, placing it at the frontier of AI capabilities at its release date. The 48.2% Humanity's Last Exam score is also notable on this challenging benchmark. For teams seeking open-weight DeepSeek models, DeepSeek-V3 (MIT) or DeepSeek-V3.2 Experimental remain available. V4 Pro Max is for teams prioritising maximum performance over licensing flexibility. ## Specifications | Field | Value | |---|---| | Organization | DeepSeek | | License | Proprietary (API only) | | Release date | February 2026 | | Knowledge cutoff | September 2025 | | Modality | Text only | ## Pricing Available via DeepSeek API. Refer to the DeepSeek pricing page for current rates. ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | [LiveCodeBench](/benchmarks/livecodebench) | 93.5% | Benchgen evaluation | 2026-02 | | [MMLU-Pro](/benchmarks/mmlu-pro) | 87.5% | Benchgen evaluation | 2026-02 | | [Humanity's Last Exam](/benchmarks/humanitys-last-exam) | 48.2% | Benchgen evaluation | 2026-02 | ## DeepSeek-V4 Pro Max vs Alternatives | Model | LiveCodeBench | MMLU-Pro | License | |---|---|---|---| | **DeepSeek-V4 Pro Max** | 93.5% | 87.5% | Proprietary | | [DeepSeek-V4 Flash Max](/models/deepseek/deepseek-v4-flash-max) | 91.6% | 86.2% | Proprietary | | [DeepSeek-V3.2 Experimental](/models/deepseek/deepseek-v3-2-exp) | 74.1% | 85% | MIT | | [DeepSeek-V3](/models/deepseek/deepseek-v3) | 27.2% | — | MIT | V4 Pro Max vs V4 Flash Max: higher LiveCodeBench (93.5% vs 91.6%) and MMLU-Pro (87.5% vs 86.2%) at higher cost. For lower-cost frontier-quality coding, Flash Max. For open weights, V3.2 Exp (MIT, 74.1% LiveCodeBench). ## Related Models & Benchmarks - Compare: [DeepSeek-V4 Flash Max](/models/deepseek/deepseek-v4-flash-max) · [DeepSeek-V3.2 Experimental](/models/deepseek/deepseek-v3-2-exp) · [DeepSeek-V3](/models/deepseek/deepseek-v3) - Benchmarks: [LiveCodeBench](/benchmarks/livecodebench) · [MMLU-Pro](/benchmarks/mmlu-pro) · [Humanity's Last Exam](/benchmarks/humanitys-last-exam) ## Frequently Asked Questions

What is DeepSeek-V4 Pro Max?

DeepSeek's February 2026 proprietary flagship scoring 93.5% LiveCodeBench, 87.5% MMLU-Pro, and 48.2% HLE. DeepSeek's most capable model with closed weights.

Is DeepSeek-V4 Pro Max open source?

No — V4 Pro Max is proprietary, accessible only via the DeepSeek API. For open-weight DeepSeek models, use V3 (MIT) or V3.2 Experimental (MIT).

--- *Specs from DeepSeek's V4 release (February 2026) and Benchgen evaluations. Last updated 2026-07-24.*

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