DeepSeek
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Running this yourself: can likely run on your own machine.
56.3
Quality Score
1334
Arena ELO
671B
Parameters
164K
Context
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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Aug 2025
Released
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-V3 - LiveCodeBench
LiveCodeBench pass@1 49.6 across 1055 tasks
View sourceDeepSeek V3.1 - GAIA
GAIA score 27.9 from GAIA-Agent-v0908
View sourceDeepSeek V3.1 - GAIA
GAIA score 27.9 from GAIA-Agent-v0908
View source1334
ELO Score
1330 - 1337
95% Confidence
+/-4 points
22.8K
Battles
Apr 2, 2026
Last Updated