[whatmodel.sh](../../README.md) / DeepSeek V3.2 Speciale # DeepSeek V3.2 Speciale DeepSeek · 685B params (37B active) · mit **score 74.1** ±2.7 · comparison only: no current run option verified · from 3 benchmark results across 1 source · † no independently run results verified Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at _{● marks DeepSeek V3.2 Speciale among every model on that task or test, worst to best.}

task  vs the others         rank  counts  tests
math  ▁▁▃▆██▅█▃●▁▁   #27 of 530*     67%      2

math · #27 of 530 · 67% of its score

Beats [Gemini 3.8 Flash](gemini-3-8-flash.md), [DeepSeek V4.1 Flash](deepseek-v4-1-flash.md), [Grok 4.6](grok-4-6.md) here, though they rank higher overall.

test                                result  vs the others in its run    difficulty        counts  why
AIME 2025 (maker)                    96.0%  ▁·▁▁▁▂▅▆█▇▅● beats 131/133  medium · avg 53%     37%  sharp · maxed out · small run
HMMT 2025 (edition unspecified) (…   99.2%  ▃█▇▅▇▅▁·▁··● beats 32/32    medium · avg 48%     30%  sharp · maxed out · small run

other tests (1)

test                          result  vs the others in its run   difficulty            counts  why
Humanity's Last Exam (maker)   30.6%  ▁▁▁▄▆▆▇█●▆▁▃ beats 78/111  very hard · avg 4.7%     30%  at its level · small run

## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md)

source                                    results  share of the score
deepseek-ai/DeepSeek-V3.2 model card (s…        3   97% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle                        3% ▇
weighted average                                   = 74.1

_{Licences: deepseek-ai/DeepSeek-V3.2 model card ([MIT](../../licenses/deepseek-ai--DeepSeek-V3.2.txt))} ## How to run it No verified API or local download yet. Model repository and documentation: [huggingface.co/deepseek-ai](https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale) [interactive version](https://whatmodel.sh/model/deepseek-v3-2-speciale) · [JSON](https://whatmodel.sh/api?format=json&all=1)