Model comparison

DeepSeek-V3.2-Speciale vs Mistral Small 3.1

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 2.1× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.1

Rank #159 Reported

Mistral Small 3.1

Mistral AI

31.4

Rank #263 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 3 categories and Mistral Small 3.1 in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 18.9.
Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.

Side by side

DeepSeek-V3.2-Speciale and Mistral Small 3.1 specifications
	DeepSeek-V3.2-Speciale	Mistral Small 3.1
Provider	DeepSeek	Mistral AI
Noometry Index	39.1	31.4
Released	2025-12-01	2025-03-17
Weights	Open	Open
Context window	128K	128K
Max output	128K	102K
Input $ / M tokens	$0.58	$0.35
Output $ / M tokens	$1.68	$0.56
Results tracked	3	28

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Category by category

Coding DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 39.9 (#136), Mistral Small 3.1: 37.7 (#175)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
WeirdML	46.7%	—
LMArena Coding	—	1309

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.1 (#65), Mistral Small 3.1: 18.9 (#249)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
SimpleBench	52.6%	—
Chess Puzzles	—	1%
LMArena Hard Prompts	—	1278
Epoch Capabilities Index	—	127.48

Math Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Small 3.1: 13.7 (#295)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
OTIS Mock AIME 2024-2025	—	3.9%
Omni-MATH	—	24.8%
LMArena Math	—	1261

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Small 3.1: 22.6 (#266)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
GPQA Diamond	—	41.9%
MMLU-Pro	—	61%
GPQA (HELM)	—	39.2%
LMArena Expert	—	1258

Multimodal Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Small 3.1: 32.6 (#93)

Multimodal benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
LMArena Vision	—	1136

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Small 3.1: 41.4 (#204)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
LMArena Non-English	—	1255
LMArena Chinese	—	1254
LMArena French	—	1270
LMArena German	—	1266
LMArena Japanese	—	1210
LMArena Korean	—	1206
LMArena Russian	—	1263
LMArena Spanish	—	1283

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Small 3.1: 63.8 (#225)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
IFEval	—	75%
LMArena Instruction Following	—	1264

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Small 3.1: 39.5 (#172)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
LMArena Longer Query	—	1300

Writing & Preference DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 46.1 (#217), Mistral Small 3.1: 37.2 (#254)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Small 3.1
EQ-Bench Creative Writing	1276	761
LMArena Text	—	1278
LMArena Creative Writing	—	1253
WildBench	—	78.8%
LMArena Multi-Turn	—	1270

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than Mistral Small 3.1?

Which is cheaper, DeepSeek-V3.2-Speciale or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

Is DeepSeek-V3.2-Speciale or Mistral Small 3.1 better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do DeepSeek-V3.2-Speciale and Mistral Small 3.1 share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral Small 3.1 has 28.