Noometry

Model comparison

GPT-4.1 mini vs Llama 3-8B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 25.5 on the Noometry Index.

Last verified . 24 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 24 benchmarks with published results for both. GPT-4.1 mini scores higher in 5 categories and Llama 3-8B in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 6.1% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniLlama 3-8B
ProviderOpenAIMeta
Noometry Index33.625.5
Released2025-04-142024-04-18
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4734

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Category by category

Coding Too close to call

GPT-4.1 mini: 30.6 (#293), Llama 3-8B: 31.0 (#289)

BenchmarkGPT-4.1 miniLlama 3-8B
BigCodeBench Instruct48.9%31.9%
LMArena Coding13671152
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Complete—36.9%
CadEval16%—
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Llama 3-8B: —

BenchmarkGPT-4.1 miniLlama 3-8B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Llama 3-8B leads

GPT-4.1 mini: 10.8 (#340), Llama 3-8B: 14.3 (#326)

BenchmarkGPT-4.1 miniLlama 3-8B
Chess Puzzles7%0%
LMArena Hard Prompts13491133
DTBench68.8%43.9%
Epoch Capabilities Index135.01116.45
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Mystery Game Puzzles7%—
LMCA21.1%—
Adversarial NLI—57.3%
ForecastBench—58.6
WinoGrande—75.7%

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Llama 3-8B: 8.8 (#323)

BenchmarkGPT-4.1 miniLlama 3-8B
OTIS Mock AIME 2024-202544.7%1.9%
LMArena Math13431151
MATH Level 587.3%6.1%
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Llama 3-8B: 7.8 (#308)

BenchmarkGPT-4.1 miniLlama 3-8B
GPQA Diamond65.8%26.1%
LMArena Expert13381113
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Llama 3-8B: —

BenchmarkGPT-4.1 miniLlama 3-8B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Llama 3-8B: 30.8 (#261)

BenchmarkGPT-4.1 miniLlama 3-8B
LMArena Non-English13181098
LMArena Chinese13291076
LMArena French13581159
LMArena German13511104
LMArena Japanese1290967
LMArena Korean12981004
LMArena Russian13241109
LMArena Spanish13191173

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Llama 3-8B: 58.4 (#260)

BenchmarkGPT-4.1 miniLlama 3-8B
LMArena Instruction Following13331127
IFEval90.4%—

Long Context Llama 3-8B leads

GPT-4.1 mini: 31.8 (#275), Llama 3-8B: 34.2 (#251)

BenchmarkGPT-4.1 miniLlama 3-8B
LMArena Longer Query13441128
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Llama 3-8B: 37.5 (#256)

BenchmarkGPT-4.1 miniLlama 3-8B
LMArena Text13401166
LMArena Creative Writing13001150
LMArena Multi-Turn13541152
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Llama 3-8B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 25.5 on the Noometry Index.

Is GPT-4.1 mini or Llama 3-8B better for coding?

They score almost the same on coding (30.6 vs 31.0); test both on your own repository before choosing.

How many benchmarks do GPT-4.1 mini and Llama 3-8B share?

24 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 3-8B has 34.

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