DeepSeek
deepseek-v3.1 is a open-weight DeepSeek llm model with a 128,000 token context window.
Running this yourself: likely needs a high-memory cloud gpu.
Latest hybrid thinking model from Deepseek
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71.6
Quality Score
1334
Arena ELO
671B
Parameters
128K
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.
20 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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645.5K
Downloads
833
Likes
Sep 2026
Released
5/5 signals
4/4 signals
5/5 signals
2/4 signals
4/4 signals
Parameters
671B
Training compute
3.6e24 FLOP
Dataset scale
840.0B units
Base model
DeepSeek-V3
Source-reported access: Open weights (unrestricted) · Confident 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-V3 - LiveCodeBench
LiveCodeBench pass@1 49.6 across 1055 tasks
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