DeepSeek V3.2 Speciale

Name: DeepSeek V3.2 Speciale
Rating: 50.2 (1 reviews)
Author: DeepSeek

#229Large Language ModelsOpen Weights

DeepSeek

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...

Running this yourself: can likely run on your own machine.

Model updates refreshed7m agoOct 3, 2026news + changelog

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50.2

Quality Score

1334

Arena ELO

Unknown

Parameters

164K

Context

Evidence profile

How complete is this record?

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.

64%

coverage

Developing evidence

14 of 22 public signals

Technical profile60%

Benchmarks and Competitive Signal

Structured

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.

GPQAreasoning

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Official Benchmark Evidence

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 V3.2 Speciale Benchmark Update

Benchmarksartificial-analysisOct 3, 2026