Noometry

Model comparison

GPT-4.1 vs Llama 3-8B

GPT-4.1 is the stronger model overall, scoring 35.9 to 25.5 on the Noometry Index.

Last verified . 24 shared benchmarks.

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 24 benchmarks with published results for both. GPT-4.1 scores higher in 7 categories and Llama 3-8B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 leads 37.1 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 6.1% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Llama 3-8B
ProviderOpenAIMeta
Noometry Index35.925.5
Released2025-04-142024-04-18
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$2—
Output $ / M tokens$8—
Results tracked5234

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Category by category

Coding GPT-4.1 leads

GPT-4.1: 34.4 (#238), Llama 3-8B: 31.0 (#289)

BenchmarkGPT-4.1Llama 3-8B
LMArena Coding13911152
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
WeirdML39%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
CadEval42%—
ALE-Bench558.1—
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

GPT-4.1: 34.7 (#43), Llama 3-8B: —

BenchmarkGPT-4.1Llama 3-8B
Berkeley Function Calling Leaderboard54%—

Reasoning Llama 3-8B leads

GPT-4.1: 11.7 (#339), Llama 3-8B: 14.3 (#326)

BenchmarkGPT-4.1Llama 3-8B
Chess Puzzles6%0%
LMArena Hard Prompts13841133
DTBench68.3%43.9%
Epoch Capabilities Index136.78116.45
ForecastBench61.558.6
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
EnigmaEval2.2%—
LMCA25.6%—
Adversarial NLI—57.3%
WinoGrande—75.7%

Math GPT-4.1 leads

GPT-4.1: 22.3 (#280), Llama 3-8B: 8.8 (#323)

BenchmarkGPT-4.1Llama 3-8B
OTIS Mock AIME 2024-202538.3%1.9%
LMArena Math13701151
MATH Level 583%6.1%
FrontierMath (Tiers 1-3)6%—
Omni-MATH47.1%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge GPT-4.1 leads

GPT-4.1: 37.1 (#160), Llama 3-8B: 7.8 (#308)

BenchmarkGPT-4.1Llama 3-8B
GPQA Diamond66.9%26.1%
LMArena Expert13641113
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

GPT-4.1: 38.2 (#67), Llama 3-8B: —

BenchmarkGPT-4.1Llama 3-8B
LMArena Vision1211—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.4 (#133), Llama 3-8B: 30.8 (#261)

BenchmarkGPT-4.1Llama 3-8B
LMArena Non-English13701098
LMArena Chinese13821076
LMArena French13821159
LMArena German13811104
LMArena Japanese1319967
LMArena Korean13391004
LMArena Russian13771109
LMArena Spanish13761173

Instruction Following GPT-4.1 leads

GPT-4.1: 71.3 (#153), Llama 3-8B: 58.4 (#260)

BenchmarkGPT-4.1Llama 3-8B
LMArena Instruction Following13671127
IFEval83.8%—

Long Context GPT-4.1 leads

GPT-4.1: 40.0 (#163), Llama 3-8B: 34.2 (#251)

BenchmarkGPT-4.1Llama 3-8B
LMArena Longer Query13851128
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.6 (#125), Llama 3-8B: 37.5 (#256)

BenchmarkGPT-4.1Llama 3-8B
LMArena Text13831166
LMArena Creative Writing13631150
LMArena Multi-Turn13981152
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

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

GPT-4.1 is the stronger model overall, scoring 35.9 to 25.5 on the Noometry Index.

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

GPT-4.1 scores higher on coding benchmarks: 34.4 versus 31.0 in the Noometry coding category.

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

24 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Llama 3-8B has 34.

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