Large Language Models

DeepSeek V4-Pro

The open-weight value champion — near-frontier coding (SWE-V ~85%) under an MIT license with a 1M-token context at a fraction of closed-model prices.

DeepSeek V4-Pro is the open-weight value champion of 2026. A 1.6T-total / 49B-active mixture-of-experts, it posts roughly 85% on SWE-bench Verified — within a few points of the closed frontier — under a permissive MIT license and at a fraction of the price.

Its DeepSeek Sparse Attention (DSA) is what makes a 1M-token context affordable, using a small fraction of single-token FLOPs versus the previous generation at full context. The companion V4-Flash ($0.14 / $0.28) is the cheapest credible coder on the market.

The honest caveats: it trails the absolute top on the hardest benchmarks, and some enterprise legal teams remain cautious about geopolitical and export-compliance questions despite the open license.

Best for

  • High-volume coding and agents on a budget
  • Self-hosted deployments needing 1M context
  • Cost-sensitive RAG pipelines

Pros & cons

Strengths

  • Open weights (MIT) with near-frontier SWE-bench Verified (~85%)
  • 1M context made cheap via DeepSeek Sparse Attention
  • 5–10× lower price than the closed frontier

Limitations

  • A few points behind the very top on the hardest tasks
  • Some enterprise teams flag geopolitical/export-compliance uncertainty

Sources

Last updated: 2026-06-18 · Specs and pricing change fast — verify on the vendor's site before relying on them.