Noometry

Model comparison

GPT-5 Nano vs Llama 3-8B

GPT-5 Nano is the stronger model overall, scoring 33.5 to 25.5 on the Noometry Index.

Last verified . 23 shared benchmarks.

GPT-5 Nano OpenAI

33.5

Rank #241 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-5 Nano 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-5 Nano leads 35.9 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 95.2% for GPT-5 Nano and 6.1% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

GPT-5 NanoLlama 3-8B
ProviderOpenAIMeta
Noometry Index33.525.5
Released2025-08-072024-04-18
WeightsProprietaryOpen
Context window400K—
Max output128K—
Input $ / M tokens$0.05—
Output $ / M tokens$0.40—
Results tracked4934

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Category by category

Coding GPT-5 Nano leads

GPT-5 Nano: 33.6 (#254), Llama 3-8B: 31.0 (#289)

BenchmarkGPT-5 NanoLlama 3-8B
LMArena Coding13511152
SWE-bench Verified (bash only)34.8%—
WeirdML38.1%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
ALE-Bench718.67—
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

GPT-5 Nano: 25.8 (#106), Llama 3-8B: —

BenchmarkGPT-5 NanoLlama 3-8B
Terminal-Bench21.8%—
Berkeley Function Calling Leaderboard51.5%—

Reasoning GPT-5 Nano leads

GPT-5 Nano: 16.3 (#306), Llama 3-8B: 14.3 (#326)

BenchmarkGPT-5 NanoLlama 3-8B
Chess Puzzles27%0%
LMArena Hard Prompts13281133
DTBench62.7%43.9%
Epoch Capabilities Index139.38116.45
ForecastBench59.158.6
ARC-AGI-22.6%—
Kagi LLM Benchmark62.2%—
ARC-AGI-120.7%—
Mystery Game Puzzles9%—
LMCA7.9%—
Adversarial NLI—57.3%
WinoGrande—75.7%

Math GPT-5 Nano leads

GPT-5 Nano: 29.4 (#241), Llama 3-8B: 8.8 (#323)

BenchmarkGPT-5 NanoLlama 3-8B
OTIS Mock AIME 2024-202581.1%1.9%
LMArena Math13171151
MATH Level 595.2%6.1%
FrontierMath (Tiers 1-3)20%—
FrontierMath Tier 42.4%—
ProofBench12%—
Omni-MATH54.6%—
FrontierMath (Feb 2025 set)8.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GPT-5 Nano leads

GPT-5 Nano: 35.9 (#178), Llama 3-8B: 7.8 (#308)

BenchmarkGPT-5 NanoLlama 3-8B
GPQA Diamond69.4%26.1%
LMArena Expert13211113
SimpleQA Verified11.7%—
MMLU-Pro77.8%—
Vectara Hallucination Rate10.5%—
GPQA (HELM)67.9%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

GPT-5 Nano: 31.3 (#108), Llama 3-8B: —

BenchmarkGPT-5 NanoLlama 3-8B
LMArena Vision1159—
VPCT37.2%—

Multilingual GPT-5 Nano leads

GPT-5 Nano: 45.3 (#172), Llama 3-8B: 30.8 (#261)

BenchmarkGPT-5 NanoLlama 3-8B
LMArena Non-English13131098
LMArena Chinese13561076
LMArena German13271104
LMArena Japanese1226967
LMArena Korean12691004
LMArena Russian12961109
LMArena Spanish13601173
LMArena French—1159

Instruction Following GPT-5 Nano leads

GPT-5 Nano: 75.0 (#79), Llama 3-8B: 58.4 (#260)

BenchmarkGPT-5 NanoLlama 3-8B
LMArena Instruction Following13061127
IFEval93.2%—

Long Context Llama 3-8B leads

GPT-5 Nano: 31.3 (#281), Llama 3-8B: 34.2 (#251)

BenchmarkGPT-5 NanoLlama 3-8B
LMArena Longer Query13121128
Fiction.LiveBench44.4%—

Writing & Preference GPT-5 Nano leads

GPT-5 Nano: 39.1 (#249), Llama 3-8B: 37.5 (#256)

BenchmarkGPT-5 NanoLlama 3-8B
LMArena Text13201166
LMArena Creative Writing12491150
LMArena Multi-Turn13111152
EQ-Bench Creative Writing705—
WildBench80.6%—

Frequently asked questions

Is GPT-5 Nano better than Llama 3-8B?

GPT-5 Nano is the stronger model overall, scoring 33.5 to 25.5 on the Noometry Index.

Is GPT-5 Nano or Llama 3-8B better for coding?

GPT-5 Nano scores higher on coding benchmarks: 33.6 versus 31.0 in the Noometry coding category.

How many benchmarks do GPT-5 Nano and Llama 3-8B share?

23 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Llama 3-8B has 34.

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