Model comparison

GPT-4.1 nano vs Mistral Medium 3.1

Mistral Medium 3.1 is the stronger model overall, scoring 31.5 to 27.7 on the Noometry Index. GPT-4.1 nano costs 4.6× less per token, which makes it the better buy when Mistral Medium 3.1's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Mistral Medium 3.1

Mistral AI

31.5

Rank #260 Reported

Summary

They share 1 benchmark with published results for both. GPT-4.1 nano scores higher in 0 categories and Mistral Medium 3.1 in 2 categories; 2 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.6 to 40.7.
GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
GPT-4.1 nano accepts more context: 1.05M tokens versus 131K.

Side by side

GPT-4.1 nano and Mistral Medium 3.1 specifications
	GPT-4.1 nano	Mistral Medium 3.1
Provider	OpenAI	Mistral AI
Noometry Index	27.7	31.5
Released	2025-04-14	—
Weights	Proprietary	Proprietary
Context window	1.05M	131K
Max output	33K	105K
Input $ / M tokens	$0.10	$0.40
Output $ / M tokens	$0.40	$2
Results tracked	38	3

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Category by category

Coding Not comparable

GPT-4.1 nano: 23.8 (#325), Mistral Medium 3.1: —

Coding benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
Aider Polyglot	8.9%	—
SciCode	25.9%	—
WeirdML	19%	—
LMArena Coding	1306	—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.3 (#98), Mistral Medium 3.1: —

Agentic & Tool Use benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
Berkeley Function Calling Leaderboard	33%	—

Reasoning Mistral Medium 3.1 leads

GPT-4.1 nano: 8.6 (#344), Mistral Medium 3.1: 10.1 (#336)

Reasoning benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
ARC-AGI-2	0%	—
Kagi LLM Benchmark	33.3%	—
NYT Connections (extended)	—	6.5%
ARC-AGI-1	0%	—
CritPt	0%	—
Thematic Generalization	—	20.3%
LMArena Hard Prompts	1286	—
DTBench	52.5%	—
LMCA	5.5%	—
Epoch Capabilities Index	129.62	—

Math Not comparable

GPT-4.1 nano: 25.5 (#246), Mistral Medium 3.1: —

Math benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
OTIS Mock AIME 2024-2025	28.9%	—
Omni-MATH	36.7%	—
LMArena Math	1274	—
MATH Level 5	70%	—
FrontierMath (Feb 2025 set)	1%	—

Knowledge Not comparable

GPT-4.1 nano: 21.8 (#268), Mistral Medium 3.1: —

Knowledge benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
GPQA Diamond	48.9%	—
SimpleQA Verified	6%	—
MMLU-Pro	55%	—
GPQA (HELM)	50.7%	—
LMArena Expert	1272	—

Multimodal Not comparable

GPT-4.1 nano: 28.6 (#108), Mistral Medium 3.1: —

Multimodal benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
LMArena Vision	1063	—

Multilingual Not comparable

GPT-4.1 nano: 41.8 (#200), Mistral Medium 3.1: —

Multilingual benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
LMArena Non-English	1260	—
LMArena Chinese	1270	—
LMArena German	1288	—
LMArena Japanese	1199	—
LMArena Russian	1261	—

Instruction Following Not comparable

GPT-4.1 nano: 68.0 (#188), Mistral Medium 3.1: —

Instruction Following benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
IFEval	84.3%	—
LMArena Instruction Following	1267	—

Long Context Not comparable

GPT-4.1 nano: 23.7 (#291), Mistral Medium 3.1: —

Long Context benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
Fiction.LiveBench	25%	—
LMArena Longer Query	1283	—

Writing & Preference Mistral Medium 3.1 leads

GPT-4.1 nano: 40.7 (#238), Mistral Medium 3.1: 55.6 (#140)

Writing & Preference benchmarks
Benchmark	GPT-4.1 nano	Mistral Medium 3.1
EQ-Bench Creative Writing	946	1476
LMArena Text	1285	—
LMArena Creative Writing	1260	—
WildBench	81.2%	—
LMArena Multi-Turn	1277	—

Frequently asked questions

Is GPT-4.1 nano better than Mistral Medium 3.1?

Which is cheaper, GPT-4.1 nano or Mistral Medium 3.1?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 131K.

How many benchmarks do GPT-4.1 nano and Mistral Medium 3.1 share?

1 benchmark has published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Mistral Medium 3.1 has 3.