DeepSeek
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Running this yourself: can likely run on your own machine.
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Quality Score
1334
Arena ELO
Unknown
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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Sep 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 source1334
ELO Score
1330 - 1337
95% Confidence
+/-4 points
22.8K
Battles
Apr 2, 2026
Last Updated