
DeepSeek V4-Flash — Benchmarks, Capabilities, and Use Cases
DeepSeek V4-Flash is a open-weight AI model from DeepSeek (13B/284B MoE), classified as Advanced tier with a 1M tokens context window. It is available directly ...
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.
Each score appears once, with its rank among tracked models and who measured it.
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.
Use it for scientific literature synthesis, hypothesis evaluation, medical and legal Q&A, and multi-discipline research tasks where deep domain knowledge matters.
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.
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.
At this level it handles advanced data structures, graph algorithms, and interview-level challenges with high reliability.
Use DeepSeek V4-Pro in any flow, next to your own tools and knowledge sources.
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 ↗Compare every tracked model on coding, agent and reasoning benchmarks, with each score marked verified or self-reported.

DeepSeek V4-Flash is a open-weight AI model from DeepSeek (13B/284B MoE), classified as Advanced tier with a 1M tokens context window. It is available directly ...

Llama 4 Scout is a open-weight AI model from Meta (17B/109B MoE (16 experts)), classified as Established tier with a 10M tokens context window. Explore benchmar...

Claude Opus 4.7 is a proprietary AI model from Anthropic, classified as Frontier tier with a 1M tokens context window. Explore benchmark scores, strengths, and ...
Cookie Consent
We use cookies to enhance your browsing experience and analyze our traffic. See our privacy policy.