Noometry

Model comparison

GPT-4.1 mini vs Llama 13b

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

Last verified . 9 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Llama 13b Meta

24.4

Rank #348 Confirmed

Summary

  • They share 9 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Llama 13b in 2 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 36.7.
  • Llama 13b has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniLlama 13b
ProviderOpenAIMeta
Noometry Index33.624.4
Released2025-04-142023-02-24
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4721

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Category by category

Coding GPT-4.1 mini leads

GPT-4.1 mini: 30.6 (#293), Llama 13b: 21.4 (#337)

BenchmarkGPT-4.1 miniLlama 13b
LMArena Coding1367683
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 13b: —

BenchmarkGPT-4.1 miniLlama 13b
Berkeley Function Calling Leaderboard50.5%—

Reasoning Llama 13b leads

GPT-4.1 mini: 10.8 (#340), Llama 13b: 14.0 (#329)

BenchmarkGPT-4.1 miniLlama 13b
LMArena Hard Prompts1349728
Epoch Capabilities Index135.01100.58
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
BIG-Bench Hard—37.9%
HellaSwag—79.2%
LAMBADA—75.2%
PIQA—80.1%
WinoGrande—73%

Math Llama 13b leads

GPT-4.1 mini: 24.1 (#270), Llama 13b: 26.7 (#256)

BenchmarkGPT-4.1 miniLlama 13b
LMArena Math1343838
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—20.6%

Knowledge Not comparable

GPT-4.1 mini: 34.7 (#194), Llama 13b: —

BenchmarkGPT-4.1 miniLlama 13b
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—
ARC (AI2) Challenge—52.7%
BoolQ—78.7%
MMLU—47.7%
OpenBookQA—56.4%
TriviaQA—77.9%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Llama 13b: —

BenchmarkGPT-4.1 miniLlama 13b
LMArena Vision1181—
ScienceQA—43.3%

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Llama 13b: 16.6 (#297)

BenchmarkGPT-4.1 miniLlama 13b
LMArena Non-English1318819
LMArena Chinese1329—
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Llama 13b: 36.7 (#305)

BenchmarkGPT-4.1 miniLlama 13b
LMArena Instruction Following1333781
IFEval90.4%—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Llama 13b: —

BenchmarkGPT-4.1 miniLlama 13b
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Llama 13b: 13.8 (#312)

BenchmarkGPT-4.1 miniLlama 13b
LMArena Text1340834
LMArena Creative Writing1300794
LMArena Multi-Turn1354753
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Llama 13b?

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 13b better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.6 versus 21.4 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Llama 13b share?

9 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 13b has 21.

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