Noometry

Model comparison

GPT-4.1 nano vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 27.9 on the Noometry Index. GPT-4.1 nano costs 5.9× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Mistral Large 4 leads 48.6 to 24.1.
  • The biggest single-benchmark swing is SimpleQA Verified: 6% for GPT-4.1 nano and 20% for Mistral Large 4.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-4.1 nanoMistral Large 4
ProviderOpenAIMistral AI
Noometry Index27.943.1
Released2025-04-142026-10-06
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output33K262K
Input $ / M tokens$0.10$0.68
Output $ / M tokens$0.40$2.09
Results tracked3815

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Category by category

Coding Mistral Large 4 leads

GPT-4.1 nano: 24.1 (#330), Mistral Large 4: 48.6 (#57)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Coding13061475
Aider Polyglot8.9%—
LMArena WebDev—1541
SciCode25.9%—
WeirdML19%—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.5 (#104), Mistral Large 4: —

BenchmarkGPT-4.1 nanoMistral Large 4
Berkeley Function Calling Leaderboard33%—

Reasoning Mistral Large 4 leads

GPT-4.1 nano: 8.5 (#349), Mistral Large 4: 22.5 (#192)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Hard Prompts12861444
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
NYT Connections (extended)—27.4%
ARC-AGI-10%—
CritPt0%—
DTBench52.5%—
LMCA5.5%—
Epoch Capabilities Index129.62—

Math Mistral Large 4 leads

GPT-4.1 nano: 26.9 (#252), Mistral Large 4: 40.4 (#91)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Math12741488
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Mistral Large 4 leads

GPT-4.1 nano: 21.8 (#273), Mistral Large 4: 36.6 (#166)

BenchmarkGPT-4.1 nanoMistral Large 4
SimpleQA Verified6%20%
LMArena Expert12721447
GPQA Diamond48.9%—
MMLU-Pro55%—
GPQA (HELM)50.7%—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Mistral Large 4: —

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Vision1063—

Multilingual Mistral Large 4 leads

GPT-4.1 nano: 41.6 (#205), Mistral Large 4: 52.6 (#82)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Non-English12601415
LMArena Chinese12701491
LMArena Russian12611414
LMArena German1288—
LMArena Japanese1198—

Instruction Following Mistral Large 4 leads

GPT-4.1 nano: 67.8 (#193), Mistral Large 4: 75.0 (#76)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Instruction Following12671424
IFEval84.3%—

Long Context Mistral Large 4 leads

GPT-4.1 nano: 23.7 (#296), Mistral Large 4: 43.6 (#89)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Longer Query12831429
Fiction.LiveBench25%—

Writing & Preference Mistral Large 4 leads

GPT-4.1 nano: 40.5 (#243), Mistral Large 4: 60.4 (#97)

BenchmarkGPT-4.1 nanoMistral Large 4
LMArena Text12851427
LMArena Creative Writing12601361
LMArena Multi-Turn12771424
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 27.9 on the Noometry Index. GPT-4.1 nano costs 5.9× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or Mistral Large 4?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GPT-4.1 nano or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-4.1 nano and Mistral Large 4 share?

13 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Mistral Large 4 has 15.

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