Noometry

Model comparison

GPT-4.1 mini vs Mistral 7B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 23.0 on the Noometry Index. Mistral 7B costs 2.8× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-4.1 mini scores higher in 6 categories and Mistral 7B in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 7.4.
  • The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 3.7% for Mistral 7B.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniMistral 7B
ProviderOpenAIMistral AI
Noometry Index33.623.0
Released2025-04-142023-09-27
WeightsProprietaryOpen
Context window1.05M8K
Max output33K8K
Input $ / M tokens$0.40$0.25
Output $ / M tokens$1.60$0.25
Results tracked4737

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Category by category

Coding GPT-4.1 mini leads

GPT-4.1 mini: 30.6 (#293), Mistral 7B: 26.4 (#326)

BenchmarkGPT-4.1 miniMistral 7B
BigCodeBench Instruct48.9%19.5%
LMArena Coding13671082
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Complete—27.3%
CadEval16%—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Mistral 7B: —

BenchmarkGPT-4.1 miniMistral 7B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Mistral 7B leads

GPT-4.1 mini: 10.8 (#340), Mistral 7B: 13.1 (#336)

BenchmarkGPT-4.1 miniMistral 7B
Chess Puzzles7%0%
LMArena Hard Prompts13491067
DTBench68.8%42.5%
Epoch Capabilities Index135.01112.21
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Mystery Game Puzzles7%—
LMCA21.1%—
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Mistral 7B: 8.1 (#325)

BenchmarkGPT-4.1 miniMistral 7B
OTIS Mock AIME 2024-202544.7%0.3%
LMArena Math13431085
MATH Level 587.3%3.7%
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
FrontierMath (Feb 2025 set)4.5%—
GSM8K—54.4%

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Mistral 7B: 7.4 (#311)

BenchmarkGPT-4.1 miniMistral 7B
GPQA Diamond65.8%15.2%
LMArena Expert13381036
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Mistral 7B: —

BenchmarkGPT-4.1 miniMistral 7B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Mistral 7B: 25.8 (#283)

BenchmarkGPT-4.1 miniMistral 7B
LMArena Non-English13181012
LMArena Chinese13291009
LMArena French13581037
LMArena German1351987
LMArena Japanese1290878
LMArena Russian13241018
LMArena Spanish13191026
LMArena Korean1298—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Mistral 7B: 54.2 (#280)

BenchmarkGPT-4.1 miniMistral 7B
LMArena Instruction Following13331060
IFEval90.4%—

Long Context Too close to call

GPT-4.1 mini: 31.8 (#275), Mistral 7B: 32.2 (#271)

BenchmarkGPT-4.1 miniMistral 7B
LMArena Longer Query13441060
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Mistral 7B: 30.7 (#286)

BenchmarkGPT-4.1 miniMistral 7B
LMArena Text13401090
LMArena Creative Writing13001068
LMArena Multi-Turn13541062
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Mistral 7B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 23.0 on the Noometry Index. Mistral 7B costs 2.8× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 mini or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Mistral 7B better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.6 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 8K.

How many benchmarks do GPT-4.1 mini and Mistral 7B share?

23 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral 7B has 37.

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