Model comparison

GPT-5.5 Pro vs Mistral Large

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.9 on the Noometry Index. Mistral Large costs 23× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 8 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Mistral Large

Mistral AI

31.9

Rank #263 Confirmed

Summary

They share 8 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Mistral Large in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 18.2.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 8.5% for Mistral Large.
Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
GPT-5.5 Pro accepts more context: 1.05M tokens versus 131K.
Mistral Large has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Pro and Mistral Large specifications
	GPT-5.5 Pro	Mistral Large
Provider	OpenAI	Mistral AI
Noometry Index	64.3	31.9
Released	2026-04-23	2024-02-26
Weights	Proprietary	Open
Context window	1.05M	131K
Max output	128K	16K
Input $ / M tokens	$30	$2
Output $ / M tokens	$180	$6
Results tracked	14	51

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Category by category

Coding Not comparable

GPT-5.5 Pro: —, Mistral Large: 34.3 (#240)

Coding benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
SciCode	—	36.2%
BigCodeBench Instruct	—	30%
LiveBench Coding	—	47.1%
LMArena Coding	—	1277
BigCodeBench Complete	—	38.3%
ALE-Bench	—	264.7
HumanEval+	—	62.2%
MBPP+	—	59.5%

Agentic & Tool Use Not comparable

GPT-5.5 Pro: —, Mistral Large: 28.6 (#89)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
Berkeley Function Calling Leaderboard	—	38.4%

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.3 (#10), Mistral Large: 15.8 (#310)

Reasoning benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
SimpleBench	76.9%	22.5%
CritPt	30.6%	0%
DTBench	96%	65.1%
LMCA	53.9%	16.7%
Epoch Capabilities Index	162.07	128.52
ARC-AGI-2	84.6%	—
ARC-AGI-1	96.5%	—
Chess Puzzles	64%	—
LiveBench Reasoning	—	43.5%
LMArena Hard Prompts	—	1257
LiveBench Data Analysis	—	50.1%
ForecastBench	—	57.1
LiveBench	—	48.4%

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 84.0 (#10), Mistral Large: 18.2 (#291)

Math benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
OTIS Mock AIME 2024-2025	100%	8.5%
FrontierMath (Feb 2025 set)	52.4%	0.3%
FrontierMath (Tiers 1-3)	87.7%	—
FrontierMath Tier 4	78%	—
Omni-MATH	—	28.1%
LiveBench Math	—	42.5%
LMArena Math	—	1262
MATH Level 5	—	50.3%
FrontierMath Tier 4 (v1)	39.6%	—

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.1 (#19), Mistral Large: 30.1 (#230)

Knowledge benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
GPQA Diamond	93.9%	51.3%
MMLU-Pro	—	59.9%
Confabulations	—	21.4%
Vectara Hallucination Rate	—	4.5%
GPQA (HELM)	—	43.5%
LMArena Expert	—	1232
MMLU	—	80%

Multilingual Not comparable

GPT-5.5 Pro: —, Mistral Large: 40.0 (#219)

Multilingual benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
LMArena Non-English	—	1237
LMArena Chinese	—	1240
LMArena French	—	1325
LMArena German	—	1254
LMArena Japanese	—	1188
LMArena Korean	—	1202
LMArena Russian	—	1257
LMArena Spanish	—	1268

Instruction Following Not comparable

GPT-5.5 Pro: —, Mistral Large: 67.9 (#191)

Instruction Following benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
LiveBench Instruction Following	—	67.9%
IFEval	—	87.7%
LMArena Instruction Following	—	1249

Long Context Not comparable

GPT-5.5 Pro: —, Mistral Large: 38.3 (#199)

Long Context benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
LMArena Longer Query	—	1261

Writing & Preference Not comparable

GPT-5.5 Pro: —, Mistral Large: 40.7 (#242)

Writing & Preference benchmarks
Benchmark	GPT-5.5 Pro	Mistral Large
LMArena Text	—	1266
LMArena Creative Writing	—	1243
Short-Story Creative Writing	—	69%
EQ-Bench Creative Writing	—	985
WildBench	—	80.1%
LMArena Multi-Turn	—	1260
LiveBench Language	—	39.4%

Frequently asked questions

Is GPT-5.5 Pro better than Mistral Large?

Which is cheaper, GPT-5.5 Pro or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do GPT-5.5 Pro and Mistral Large share?

8 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral Large has 51.