Model comparison

DeepSeek V4 Pro vs Mistral Small 3.2

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 6 shared benchmarks.

DeepSeek V4 Pro

DeepSeek

54.3

Rank #31 Confirmed

Mistral Small 3.2

Mistral AI

31.2

Rank #280 Confirmed

Summary

They share 6 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 26.3.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.6% for DeepSeek V4 Pro and 30.3% for Mistral Small 3.2.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.66 / $1.98 for DeepSeek V4 Pro.
DeepSeek V4 Pro accepts more context: 1M tokens versus 256K.

Side by side

DeepSeek V4 Pro and Mistral Small 3.2 specifications
	DeepSeek V4 Pro	Mistral Small 3.2
Provider	DeepSeek	Mistral AI
Noometry Index	54.3	31.2
Released	2026-04-24	2025-06-20
Weights	Open	Open
Context window	1M	256K
Max output	393K	16K
Input $ / M tokens	$0.66	$0.0938
Output $ / M tokens	$1.98	$0.25
Results tracked	48	6

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

DeepSeek V4 Pro: 52.4 (#34), Mistral Small 3.2: —

Coding benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
SWE-bench Verified	77.6%	—
FrontierCode	28.6%	—
LMArena WebDev	1582	—
SciCode	51%	—
WeirdML	66.2%	—
LMArena Coding	1470	—
ALE-Bench	1,403	—

Agentic & Tool Use Not comparable

DeepSeek V4 Pro: 32.8 (#58), Mistral Small 3.2: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
APEX-Agents	47.3%	—
Vending-Bench 2	3,285	—

Reasoning DeepSeek V4 Pro leads

DeepSeek V4 Pro: 56.5 (#24), Mistral Small 3.2: 18.1 (#287)

Reasoning benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
Kagi LLM Benchmark	53.5%	40.4%
Chess Puzzles	47%	1%
Epoch Capabilities Index	155.31	131.74
ARC-AGI-2	61.3%	—
NYT Connections (extended)	91.3%	—
ARC-AGI-1	90.5%	—
CritPt	18%	—
LMArena Hard Prompts	1461	—
Mystery Game Puzzles	43%	—
DTBench	93.9%	—
LMCA	45.5%	—
Surface Evolver Bench	40%	—
ForecastBench	56.1	—

Math DeepSeek V4 Pro leads

DeepSeek V4 Pro: 64.8 (#30), Mistral Small 3.2: 26.3 (#260)

Math benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
OTIS Mock AIME 2024-2025	98.6%	30.3%
FrontierMath (Tiers 1-3)	64.6%	—
FrontierMath Tier 4	26.8%	—
MathArena Final-Answer Competitions	76.6%	—
ProofBench	50%	—
LMArena Math	1455	—

Knowledge DeepSeek V4 Pro leads

DeepSeek V4 Pro: 59.5 (#31), Mistral Small 3.2: 26.7 (#256)

Knowledge benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
GPQA Diamond	91.7%	49.1%
SimpleQA Verified	52.9%	—
Vectara Hallucination Rate	8.6%	—
LMArena Expert	1464	—

Multilingual Not comparable

DeepSeek V4 Pro: 54.4 (#45), Mistral Small 3.2: —

Multilingual benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
LMArena Non-English	1439	—
LMArena Chinese	1486	—
LMArena French	1472	—
LMArena German	1458	—
LMArena Japanese	1445	—
LMArena Korean	1447	—
LMArena Russian	1453	—
LMArena Spanish	1458	—

Instruction Following Not comparable

DeepSeek V4 Pro: 76.1 (#47), Mistral Small 3.2: —

Instruction Following benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
LMArena Instruction Following	1448	—

Long Context Not comparable

DeepSeek V4 Pro: 45.0 (#51), Mistral Small 3.2: —

Long Context benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
CL-bench Life	13.5%	—
LMArena Longer Query	1458	—

Writing & Preference DeepSeek V4 Pro leads

DeepSeek V4 Pro: 65.5 (#46), Mistral Small 3.2: 45.0 (#224)

Writing & Preference benchmarks
Benchmark	DeepSeek V4 Pro	Mistral Small 3.2
EQ-Bench Creative Writing	1553	1255
LMArena Text	1451	—
LMArena Creative Writing	1446	—
EQ-Bench 4	1166	—
LMArena Multi-Turn	1467	—

Frequently asked questions

Is DeepSeek V4 Pro better than Mistral Small 3.2?

Which is cheaper, DeepSeek V4 Pro or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; DeepSeek V4 Pro lists at $0.66 and $1.98.

Which has the bigger context window?

DeepSeek V4 Pro does, with 1M tokens against 256K.

How many benchmarks do DeepSeek V4 Pro and Mistral Small 3.2 share?

6 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Mistral Small 3.2 has 6.