DeepSeek-V4-Pro
DeepSeek's 1.6T-parameter open-weight flagship, delivering near-frontier reasoning at a fraction of Western prices.
About
DeepSeek-V4-Pro (build 0813, GA August 2026) is the flagship of DeepSeek's V4 family: a 1.6T-total-parameter MoE model with 49B active parameters per token and a 1M-token context window, released under an MIT license.
The newer DeepSeek-V4.1-Flash (Sept 10, 2026) is the fast tier — cheaper and, per DeepSeek, matching or beating Pro on agentic coding — also MIT-licensed.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported (via Requesty):
- GPQA Diamond: 92.8%
- Coding Index: 68.8%
- SciCode: 51.0%
Independent: Artificial Analysis Intelligence Index 53 for the 0813 build, ranked #3 at measurement (reported by Yotta Labs).
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 9/10
MIT-licensed open weights, published pricing with clear peak/off-peak rules, and independent AA Index corroboration make this one of the most auditable entries. Caveats: the peak/off-peak pricing adds budgeting complexity, benchmark transparency is thinner than Anthropic/OpenAI's, and previously advertised permanent discounts were revoked once (Aug 2026).
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 9.7/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 10.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · HF top match: deepseek-ai/DeepSeek-V4-Flash-0731 (community upload counts as proxy where official repo is gated)
- · HF downloads 4,446,916 (peer-normalized)
- · released 285 days ago
- · manual review: thinner transparency; revoked discounts