Model comparison

DeepSeek-V3.2-Speciale vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.7 on the Noometry Index.

Last verified October 11, 2026. 0 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.7

Rank #162 Reported

Mistral Large 4

Mistral AI

43.1

Rank #99 Confirmed

Summary

The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 46.0.
DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
Mistral Large 4 accepts more context: 1.05M tokens versus 128K.
DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Speciale and Mistral Large 4 specifications
	DeepSeek-V3.2-Speciale	Mistral Large 4
Provider	DeepSeek	Mistral AI
Noometry Index	39.7	43.1
Released	2025-12-01	2026-10-06
Weights	Open	Proprietary
Context window	128K	1.05M
Max output	128K	262K
Input $ / M tokens	$0.58	$0.68
Output $ / M tokens	$1.68	$2.09
Results tracked	3	15

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Category by category

Coding Mistral Large 4 leads

DeepSeek-V3.2-Speciale: 40.4 (#140), Mistral Large 4: 48.6 (#57)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
LMArena WebDev	—	1541
WeirdML	46.7%	—
LMArena Coding	—	1475

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.9 (#73), Mistral Large 4: 22.5 (#192)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
SimpleBench	52.6%	—
NYT Connections (extended)	—	27.4%
LMArena Hard Prompts	—	1444

Math Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Large 4: 40.4 (#91)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
LMArena Math	—	1488

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Large 4: 36.6 (#166)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
SimpleQA Verified	—	20%
LMArena Expert	—	1447

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Large 4: 52.6 (#82)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
LMArena Non-English	—	1415
LMArena Chinese	—	1491
LMArena Russian	—	1414

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Large 4: 75.0 (#76)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
LMArena Instruction Following	—	1424

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, Mistral Large 4: 43.6 (#89)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
LMArena Longer Query	—	1429

Writing & Preference Mistral Large 4 leads

DeepSeek-V3.2-Speciale: 46.0 (#222), Mistral Large 4: 60.4 (#97)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Mistral Large 4
LMArena Text	—	1427
LMArena Creative Writing	—	1361
EQ-Bench Creative Writing	1276	—
LMArena Multi-Turn	—	1424

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.7 on the Noometry Index.

Which is cheaper, DeepSeek-V3.2-Speciale or Mistral Large 4?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is DeepSeek-V3.2-Speciale or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 40.4 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 128K.

How many benchmarks do DeepSeek-V3.2-Speciale and Mistral Large 4 share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral Large 4 has 15.