Noometry

Model comparison

GPT-4.1 mini vs Llama 2-7B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-4.1 mini scores higher in 6 categories and Llama 2-7B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 50.8.
  • The biggest single-benchmark swing is Chess Puzzles: 7% for GPT-4.1 mini and 0% for Llama 2-7B.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniLlama 2-7B
ProviderOpenAIMeta
Noometry Index33.629.1
Released2025-04-142023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4729

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Category by category

Coding GPT-4.1 mini leads

GPT-4.1 mini: 30.6 (#293), Llama 2-7B: 29.2 (#307)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Coding13671002
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Llama 2-7B: —

BenchmarkGPT-4.1 miniLlama 2-7B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Llama 2-7B leads

GPT-4.1 mini: 10.8 (#340), Llama 2-7B: 15.7 (#312)

BenchmarkGPT-4.1 miniLlama 2-7B
Chess Puzzles7%0%
LMArena Hard Prompts13491009
Epoch Capabilities Index135.0199.06
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
BIG-Bench Hard—39.2%
HellaSwag—77.2%
LAMBADA—73.3%
PIQA—78.8%
WinoGrande—69.2%

Math Llama 2-7B leads

GPT-4.1 mini: 24.1 (#270), Llama 2-7B: 30.7 (#233)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Math13431042
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—
GSM8K—16.7%

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Llama 2-7B: 28.2 (#248)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Expert13381036
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
ARC (AI2) Challenge—45.9%
BoolQ—77.9%
MMLU—45.8%
OpenBookQA—58.6%
TriviaQA—73.7%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Llama 2-7B: —

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Vision1181—
ScienceQA—43.1%

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Llama 2-7B: 23.8 (#293)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Non-English1318973
LMArena Chinese1329973
LMArena French1358970
LMArena German1351978
LMArena Russian1324995
LMArena Spanish13191007
LMArena Japanese1290—
LMArena Korean1298—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Llama 2-7B: 50.8 (#298)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Instruction Following13331006
IFEval90.4%—

Long Context GPT-4.1 mini leads

GPT-4.1 mini: 31.8 (#275), Llama 2-7B: 30.4 (#287)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Longer Query1344999
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Llama 2-7B: 28.0 (#298)

BenchmarkGPT-4.1 miniLlama 2-7B
LMArena Text13401053
LMArena Creative Writing13001033
LMArena Multi-Turn13541029
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Llama 2-7B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.1 on the Noometry Index.

Is GPT-4.1 mini or Llama 2-7B better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.6 versus 29.2 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Llama 2-7B share?

17 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 2-7B has 29.

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