Model comparison

GPT-5.3 Chat vs Mistral Small 3.2

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 36× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Mistral Small 3.2

Mistral AI

30.8

Rank #271 Confirmed

Summary

They share 1 benchmark with published results for both. GPT-5.3 Chat 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 writing & preference, where GPT-5.3 Chat leads 63.3 to 45.1.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
Mistral Small 3.2 accepts more context: 256K tokens versus 128K.
Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 Chat and Mistral Small 3.2 specifications
	GPT-5.3 Chat	Mistral Small 3.2
Provider	OpenAI	Mistral AI
Noometry Index	42.1	30.8
Released	2026-03-03	2025-06-20
Weights	Proprietary	Open
Context window	128K	256K
Max output	16K	16K
Input $ / M tokens	$1.75	$0.0938
Output $ / M tokens	$14	$0.25
Results tracked	18	6

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Category by category

Coding Not comparable

GPT-5.3 Chat: 40.8 (#124), Mistral Small 3.2: —

Coding benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
LMArena Coding	1408	—

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Mistral Small 3.2: 17.5 (#282)

Reasoning benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
Kagi LLM Benchmark	—	40.4%
Chess Puzzles	—	1%
LMArena Hard Prompts	1399	—
Epoch Capabilities Index	—	131.73

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 35.4 (#146), Mistral Small 3.2: 24.9 (#251)

Math benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
OTIS Mock AIME 2024-2025	—	30.3%
LMArena Math	1389	—

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#137), Mistral Small 3.2: 26.8 (#249)

Knowledge benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
GPQA Diamond	—	49.1%
LMArena Expert	1397	—

Multilingual Not comparable

GPT-5.3 Chat: 50.5 (#119), Mistral Small 3.2: —

Multilingual benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
LMArena Non-English	1383	—
LMArena Chinese	1433	—
LMArena French	1398	—
LMArena German	1384	—
LMArena Japanese	1351	—
LMArena Korean	1347	—
LMArena Russian	1400	—
LMArena Spanish	1371	—

Instruction Following Not comparable

GPT-5.3 Chat: 73.0 (#124), Mistral Small 3.2: —

Instruction Following benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
LMArena Instruction Following	1378	—

Long Context Not comparable

GPT-5.3 Chat: 42.6 (#115), Mistral Small 3.2: —

Long Context benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
LMArena Longer Query	1396	—

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.3 (#65), Mistral Small 3.2: 45.1 (#219)

Writing & Preference benchmarks
Benchmark	GPT-5.3 Chat	Mistral Small 3.2
EQ-Bench Creative Writing	1690	1255
LMArena Text	1389	—
LMArena Creative Writing	1356	—
LMArena Multi-Turn	1413	—

Frequently asked questions

Is GPT-5.3 Chat better than Mistral Small 3.2?

Which is cheaper, GPT-5.3 Chat 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; GPT-5.3 Chat lists at $1.75 and $14.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Mistral Small 3.2 share?

1 benchmark has published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Mistral Small 3.2 has 6.