DeepSeek
DeepSeek-V3 is a 685B parameter Mixture-of-Experts model that achieves GPT-4 level performance at significantly lower cost. Activates 37B parameters per token.
Running this yourself: likely needs a high-memory cloud gpu.
73.4
Quality Score
1334
Arena ELO
685B
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.
21 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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1.0M
Downloads
4.2K
Likes
Dec 2024
Released
5/5 signals
4/4 signals
5/5 signals
4/4 signals
3/4 signals
Parameters
671B
Training compute
3.3e24 FLOP
Dataset scale
14.8T units
Base model
Not reported
Source-reported access: Open weights (restricted use) · 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 — LiveBench Scores
language: 0.5 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View sourcedeepseek-v3.2-reasoner - SWE-Bench Verified
SWE-Bench Verified resolved rate 60.0
View sourceDeepSeek-V3 - LiveCodeBench
LiveCodeBench pass@1 49.6 across 1055 tasks
View sourcedeepseek-v3 — LiveBench Scores
language: 0.5 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View sourcedeepseek-v3 — LiveBench Scores
language: 0.5 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View sourcedeepseek-v3 — LiveBench Scores
language: 0.5 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View source1334
ELO Score
1330 - 1337
95% Confidence
+/-4 points
22.8K
Battles
Sep 5, 2026
Last Updated