Model comparison

GPT-4.1 nano vs Magistral Small

Magistral Small is the stronger model overall, scoring 30.2 to 27.9 on the Noometry Index. GPT-4.1 nano costs 4.3× less per token, which makes it the better buy when Magistral Small's lead doesn't matter for your workload.

Last verified . 9 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

Summary

  • They share 9 benchmarks with published results for both. GPT-4.1 nano scores higher in 2 categories and Magistral Small in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Magistral Small leads 38.4 to 24.1.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 33.3% for GPT-4.1 nano and 6.3% for Magistral Small.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 128K.
  • Magistral Small has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nano and Magistral Small specifications
GPT-4.1 nanoMagistral Small
ProviderOpenAIMistral AI
Noometry Index27.930.2
Released2025-04-142025-06-10
WeightsProprietaryOpen
Context window1.05M128K
Max output33K40K
Input $ / M tokens$0.10$0.50
Output $ / M tokens$0.40$1.50
Results tracked3810

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Category by category

Coding Magistral Small leads

GPT-4.1 nano: 24.1 (#330), Magistral Small: 38.4 (#176)

Coding benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
SciCode25.9%35.2%
Aider Polyglot8.9%—
WeirdML19%—
LMArena Coding1306—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.5 (#104), Magistral Small: —

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
Berkeley Function Calling Leaderboard33%—

Reasoning GPT-4.1 nano leads

GPT-4.1 nano: 8.5 (#349), Magistral Small: 6.8 (#350)

Reasoning benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
ARC-AGI-20%0%
Kagi LLM Benchmark33.3%6.3%
ARC-AGI-10%5%
CritPt0%0.3%
DTBench52.5%61.3%
Epoch Capabilities Index129.62133.19
Chess Puzzles—3%
LMArena Hard Prompts1286—
LMCA5.5%—

Math Too close to call

GPT-4.1 nano: 26.9 (#252), Magistral Small: 26.2 (#261)

Math benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
OTIS Mock AIME 2024-202528.9%30%
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Magistral Small leads

GPT-4.1 nano: 21.8 (#273), Magistral Small: 30.9 (#223)

Knowledge benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
GPQA Diamond48.9%56.1%
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—
LMArena Expert1272—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Magistral Small: —

Multimodal benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.6 (#205), Magistral Small: —

Multilingual benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1198—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 67.8 (#193), Magistral Small: —

Instruction Following benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
IFEval84.3%—
LMArena Instruction Following1267—

Long Context Not comparable

GPT-4.1 nano: 23.7 (#296), Magistral Small: —

Long Context benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
Fiction.LiveBench25%—
LMArena Longer Query1283—

Writing & Preference Not comparable

GPT-4.1 nano: 40.5 (#243), Magistral Small: —

Writing & Preference benchmarks
BenchmarkGPT-4.1 nanoMagistral Small
LMArena Text1285—
LMArena Creative Writing1260—
EQ-Bench Creative Writing946—
WildBench81.2%—
LMArena Multi-Turn1277—

Frequently asked questions

Is GPT-4.1 nano better than Magistral Small?

Magistral Small is the stronger model overall, scoring 30.2 to 27.9 on the Noometry Index. GPT-4.1 nano costs 4.3× less per token, which makes it the better buy when Magistral Small's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or Magistral Small?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Magistral Small lists at $0.50 and $1.50.

Is GPT-4.1 nano or Magistral Small better for coding?

Magistral Small scores higher on coding benchmarks: 38.4 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 128K.

How many benchmarks do GPT-4.1 nano and Magistral Small share?

9 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Magistral Small has 10.

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