Model comparison

GPT-5.3 Chat vs Mistral Large

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.9 on the Noometry Index. Mistral Large costs 1.6× 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. 18 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Mistral Large

Mistral AI

31.9

Rank #263 Confirmed

Summary

They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 40.7.
Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
Mistral Large accepts more context: 131K tokens versus 128K.
Mistral Large has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 Chat and Mistral Large specifications
	GPT-5.3 Chat	Mistral Large
Provider	OpenAI	Mistral AI
Noometry Index	42.8	31.9
Released	2026-03-03	2024-02-26
Weights	Proprietary	Open
Context window	128K	131K
Max output	16K	16K
Input $ / M tokens	$1.75	$2
Output $ / M tokens	$14	$6
Results tracked	18	51

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Mistral Large: 34.3 (#240)

Coding benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Coding	1408	1277
SciCode	—	36.2%
BigCodeBench Instruct	—	30%
LiveBench Coding	—	47.1%
BigCodeBench Complete	—	38.3%
ALE-Bench	—	264.7
HumanEval+	—	62.2%
MBPP+	—	59.5%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Mistral Large: 28.6 (#89)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
Berkeley Function Calling Leaderboard	—	38.4%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Mistral Large: 15.8 (#310)

Reasoning benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Hard Prompts	1399	1257
SimpleBench	—	22.5%
CritPt	—	0%
LiveBench Reasoning	—	43.5%
DTBench	—	65.1%
LiveBench Data Analysis	—	50.1%
LMCA	—	16.7%
Epoch Capabilities Index	—	128.52
ForecastBench	—	57.1
LiveBench	—	48.4%

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#142), Mistral Large: 18.2 (#291)

Math benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Math	1389	1262
OTIS Mock AIME 2024-2025	—	8.5%
Omni-MATH	—	28.1%
LiveBench Math	—	42.5%
MATH Level 5	—	50.3%
FrontierMath (Feb 2025 set)	—	0.3%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.8 (#140), Mistral Large: 30.1 (#230)

Knowledge benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Expert	1397	1232
GPQA Diamond	—	51.3%
MMLU-Pro	—	59.9%
Confabulations	—	21.4%
Vectara Hallucination Rate	—	4.5%
GPQA (HELM)	—	43.5%
MMLU	—	80%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), Mistral Large: 40.0 (#219)

Multilingual benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Non-English	1382	1237
LMArena Chinese	1432	1240
LMArena French	1397	1325
LMArena German	1384	1254
LMArena Japanese	1352	1188
LMArena Korean	1346	1202
LMArena Russian	1400	1257
LMArena Spanish	1371	1268

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), Mistral Large: 67.9 (#191)

Instruction Following benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Instruction Following	1378	1249
LiveBench Instruction Following	—	67.9%
IFEval	—	87.7%

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#120), Mistral Large: 38.3 (#199)

Long Context benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Longer Query	1396	1261

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Mistral Large: 40.7 (#242)

Writing & Preference benchmarks
Benchmark	GPT-5.3 Chat	Mistral Large
LMArena Text	1389	1266
LMArena Creative Writing	1355	1243
EQ-Bench Creative Writing	1690	985
LMArena Multi-Turn	1412	1260
Short-Story Creative Writing	—	69%
WildBench	—	80.1%
LiveBench Language	—	39.4%

Frequently asked questions

Is GPT-5.3 Chat better than Mistral Large?

Which is cheaper, GPT-5.3 Chat or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Mistral Large better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Mistral Large does, with 131K tokens against 128K.

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

18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Mistral Large has 51.