Noometry

Model comparison

GPT-4.1 nano vs Ministral 8B

GPT-4.1 nano and Ministral 8B score almost the same on the Noometry Index (27.9 vs 28.2), so choose on price, context window or the category you care about most.

Last verified . 16 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Ministral 8B Mistral AI

28.2

Rank #325 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-4.1 nano scores higher in 6 categories and Ministral 8B in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Ministral 8B leads 36.7 to 23.7.
  • The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano and 14.9% for Ministral 8B.
  • Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.40 for GPT-4.1 nano.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 262K.
  • Ministral 8B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoMinistral 8B
ProviderOpenAIMistral AI
Noometry Index27.928.2
Released2025-04-142024-10-01
WeightsProprietaryOpen
Context window1.05M262K
Max output33K262K
Input $ / M tokens$0.10$0.15
Output $ / M tokens$0.40$0.15
Results tracked3817

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Category by category

Coding Ministral 8B leads

GPT-4.1 nano: 24.1 (#330), Ministral 8B: 35.0 (#230)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Coding13061202
Aider Polyglot8.9%—
SciCode25.9%—
WeirdML19%—

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), Ministral 8B: 16.4 (#148)

BenchmarkGPT-4.1 nanoMinistral 8B
Berkeley Function Calling Leaderboard33%11.1%

Reasoning Ministral 8B leads

GPT-4.1 nano: 8.5 (#349), Ministral 8B: 18.4 (#281)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Hard Prompts12861191
DTBench52.5%45.7%
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
CritPt0%—
LMCA5.5%—
Epoch Capabilities Index129.62—

Math GPT-4.1 nano leads

GPT-4.1 nano: 26.9 (#252), Ministral 8B: 25.7 (#267)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Math12741188
MATH Level 570%14.9%
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
FrontierMath (Feb 2025 set)1%—

Knowledge GPT-4.1 nano leads

GPT-4.1 nano: 21.8 (#273), Ministral 8B: 12.6 (#297)

BenchmarkGPT-4.1 nanoMinistral 8B
GPQA Diamond48.9%27.1%
LMArena Expert12721170
SimpleQA Verified6%—
MMLU-Pro55%—
Vectara Hallucination Rate—7.4%
GPQA (HELM)50.7%—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Ministral 8B: —

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Vision1063—

Multilingual GPT-4.1 nano leads

GPT-4.1 nano: 41.6 (#205), Ministral 8B: 35.1 (#247)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Non-English12601165
LMArena Chinese12701193
LMArena Russian12611195
LMArena German1288—
LMArena Japanese1198—

Instruction Following GPT-4.1 nano leads

GPT-4.1 nano: 67.8 (#193), Ministral 8B: 60.5 (#250)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Instruction Following12671161
IFEval84.3%—

Long Context Ministral 8B leads

GPT-4.1 nano: 23.7 (#296), Ministral 8B: 36.7 (#227)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Longer Query12831212
Fiction.LiveBench25%—

Writing & Preference Too close to call

GPT-4.1 nano: 40.5 (#243), Ministral 8B: 39.6 (#246)

BenchmarkGPT-4.1 nanoMinistral 8B
LMArena Text12851191
LMArena Creative Writing12601175
LMArena Multi-Turn12771166
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than Ministral 8B?

GPT-4.1 nano and Ministral 8B score almost the same on the Noometry Index (27.9 vs 28.2), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-4.1 nano or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Is GPT-4.1 nano or Ministral 8B better for coding?

Ministral 8B scores higher on coding benchmarks: 35.0 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 262K.

How many benchmarks do GPT-4.1 nano and Ministral 8B share?

16 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Ministral 8B has 17.

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