DeepSeek
We present a preview version of DeepSeek-V4 series, including two strong Mixture-ofExperts (MoE) language models — DeepSeek-V4-Pro with 1. 6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens.
Running this yourself: likely needs a high-memory cloud gpu.
DeepSeek-V4-ProMax, the maximum reasoning effort mode of DeepSeek-V4-Pro, redefines the state-of-the-art for ope
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65.1
Quality Score
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Arena ELO
1.6T
Parameters
1M
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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610.6K
Downloads
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Apr 2026
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
4/4 signals
Parameters
1.6T
Training compute
9.7e24 FLOP
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Likely confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
deepseek-ai/DeepSeek-V4-Pro · Hugging Face
DeepSeek published benchmark or leaderboard evidence for DeepSeek-V4-Pro.
View sourceDeepseekv4pro - GAIA
GAIA score 27.6 from Test-deepseek
View sourceDeepSeek-V4-Pro - GAIA
GAIA score 65.8 from XWork-MultiAgent
View source