DeepSeek Frontier Open weight Available in FlowHunt

DeepSeek V4-Pro

DeepSeek V4-Pro is a top-tier frontier AI model, developed by DeepSeek and released in April 2026. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.

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DeepSeek V4-Pro was released on April 24, 2026 as the flagship of DeepSeek’s fourth-generation V series. As an open-weight model with a 1M context window and 49B/1.6T MoE architecture, V4-Pro became the leading self-hostable option for teams prioritising coding performance with full data control.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Frontier peers on the same scale
  • DeepSeek V4-Prothis model
  • GPT-6.1 Solthis model leads on 0 of 4
  • Claude Opus 5.5this model leads on 0 of 5
Verified independent evaluator, counted in the ranking
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

DeepSeek V4-Pro 36.0 GPT-6.1 Sol 51.8 Claude Opus 5.5 57.6
#25of 45 Verified
Coding

DeepSWE

113 long-horizon software tasks written from scratch, graded by hidden tests.

Source ↗Also: Self-reported 62.7% (DeepSeek Harness minimal mode, max effort)

DeepSeek V4-Pro 62.8% GPT-6.1 Sol No score Claude Opus 5.5 74.2%
#10of 17 Verified

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗

DeepSeek V4-Pro 96.4% GPT-6.1 Sol No score Claude Opus 5.5 No score
#2of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

DeepSeek V4-Pro 14.1% GPT-6.1 Sol 56.1% Claude Opus 5.5 59.6%
#20of 36 Verified

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗Also: Self-reported 42.7% (HLE wo tools (text-only subset flagged in V4.1 card))

DeepSeek V4-Pro 41.0% GPT-6.1 Sol 52.9% Claude Opus 5.5 61.4%
#22of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 92.4% (Vals AI own implementation)

DeepSeek V4-Pro 92.8% GPT-6.1 Sol No score Claude Opus 5.5 No score
#11of 37 Verified

ARC-AGI-2

Novel visual puzzles that cannot be memorised.

Source ↗

DeepSeek V4-Pro 61.3% GPT-6.1 Sol 94.2% Claude Opus 5.5 93.3%
#18of 27 Verified

What to Use DeepSeek V4-Pro For

Software Engineering

It resolves real GitHub issues, writes production-quality code across multiple languages, and handles multi-step agentic coding workflows — a strong choice for AI-assisted software development teams.

Scientific & Technical Reasoning

Use it for scientific literature synthesis, hypothesis evaluation, medical and legal Q&A, and multi-discipline research tasks where deep domain knowledge matters.

Self-Hosted & Private Deployments

DeepSeek V4-Pro is open-weight (49B/1.6T MoE parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.

Long-Document & Codebase Analysis

With a 1M-token context window, DeepSeek V4-Pro can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.

Competitive Programming

At this level it handles advanced data structures, graph algorithms, and interview-level challenges with high reliability.

Strengths and limitations

Strengths

  • Strong software engineering
  • Graduate-level science reasoning
  • Competitive programming
  • Composite intelligence
  • Self-hosted & data-private deployments (open-weight)
  • Very long documents and large codebases (1M context)

Use it in FlowHunt

Use DeepSeek V4-Pro in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick DeepSeek V4-Pro in the model selector

Related AI Models

About DeepSeek Hangzhou, China · Founded 2023 · deepseek.com

DeepSeek is a Chinese AI research lab founded in 2023 as a subsidiary of High-Flyer, one of China's largest quantitative hedge funds. The lab became widely known in early 2025 when the release of DeepSeek V3 and R1 triggered the largest single-day drop in NVIDIA's market capitalisation to that date, as investors reassessed the capital intensity of frontier model development in light of DeepSeek's reported lower training costs. DeepSeek is unusual among frontier labs in its commitment to releasing open-weight models alongside its proprietary research, and in operating an active social-media presence that critiques closed-model pricing. Its V-series models (V3 through V4-Pro) are widely used as self-hostable coding and reasoning models in the West, despite ongoing regulatory and security scrutiny of Chinese-origin AI models in several jurisdictions.

deepseek.com ↗

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Frequently asked questions

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