Noometry

Model comparison

GPT-4.1 mini vs Llama 2-70B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 24.4 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-4.1 mini scores higher in 5 categories and Llama 2-70B in 3 categories; 6 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 3.3% for Llama 2-70B.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniLlama 2-70B
ProviderOpenAIMeta
Noometry Index33.624.4
Released2025-04-142023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4735

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Category by category

Coding Too close to call

GPT-4.1 mini: 30.6 (#293), Llama 2-70B: 31.4 (#286)

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Coding13671079
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 2-70B: —

BenchmarkGPT-4.1 miniLlama 2-70B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Llama 2-70B leads

GPT-4.1 mini: 10.8 (#340), Llama 2-70B: 14.4 (#325)

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Hard Prompts13491073
DTBench68.8%41.6%
Epoch Capabilities Index135.01113.79
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
LMCA21.1%—
BIG-Bench Hard—64.9%
CommonsenseQA 2.0—50%
ForecastBench—51.4
HellaSwag—85.3%
LAMBADA—78.9%
PIQA—82.8%
WinoGrande—80.2%

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Llama 2-70B: 8.1 (#326)

BenchmarkGPT-4.1 miniLlama 2-70B
OTIS Mock AIME 2024-202544.7%0%
LMArena Math13431091
MATH Level 587.3%3.3%
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
FrontierMath (Feb 2025 set)4.5%—
GSM8K—69.6%

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Llama 2-70B: 7.4 (#310)

BenchmarkGPT-4.1 miniLlama 2-70B
GPQA Diamond65.8%26.3%
LMArena Expert13381039
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
ARC (AI2) Challenge—78.3%
BoolQ—88.6%
MMLU—69.9%
OpenBookQA—60.2%
TriviaQA—87.6%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Llama 2-70B: —

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Llama 2-70B: 27.7 (#274)

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Non-English13181045
LMArena Chinese1329995
LMArena French13581090
LMArena German13511041
LMArena Japanese1290927
LMArena Korean1298964
LMArena Russian13241083
LMArena Spanish13191143

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Llama 2-70B: 54.9 (#278)

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Instruction Following13331071
IFEval90.4%—

Long Context Too close to call

GPT-4.1 mini: 31.8 (#275), Llama 2-70B: 32.3 (#270)

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Longer Query13441062
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Llama 2-70B: 32.3 (#279)

BenchmarkGPT-4.1 miniLlama 2-70B
LMArena Text13401115
LMArena Creative Writing13001075
LMArena Multi-Turn13541088
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Llama 2-70B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 24.4 on the Noometry Index.

Is GPT-4.1 mini or Llama 2-70B better for coding?

They score almost the same on coding (30.6 vs 31.4); test both on your own repository before choosing.

How many benchmarks do GPT-4.1 mini and Llama 2-70B share?

22 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 2-70B has 35.

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