Noometry

Model comparison

GPT-5.4 nano vs Llama 3-8B

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 25.5 on the Noometry Index.

Last verified . 23 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #125 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-5.4 nano scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 7.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for GPT-5.4 nano and 1.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 nanoLlama 3-8B
ProviderOpenAIMeta
Noometry Index41.925.5
Released2026-03-172024-04-18
WeightsProprietaryOpen
Context window400K—
Max output128K—
Input $ / M tokens$0.20—
Output $ / M tokens$1.25—
Results tracked4034

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-5.4 nano leads

GPT-5.4 nano: 43.6 (#84), Llama 3-8B: 31.0 (#289)

BenchmarkGPT-5.4 nanoLlama 3-8B
LMArena Coding14051152
SciCode46.9%—
WeirdML49.2%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
ALE-Bench1,005—
HumanEval+—56.7%
MBPP+—54.8%

Reasoning GPT-5.4 nano leads

GPT-5.4 nano: 23.7 (#173), Llama 3-8B: 14.3 (#326)

BenchmarkGPT-5.4 nanoLlama 3-8B
Chess Puzzles30%0%
LMArena Hard Prompts13811133
DTBench80.3%43.9%
Epoch Capabilities Index145.81116.45
ForecastBench57.358.6
ARC-AGI-25.7%—
Kagi LLM Benchmark39.7%—
ARC-AGI-151.5%—
CritPt9.3%—
Mystery Game Puzzles9%—
LMCA36.9%—
Adversarial NLI—57.3%
WinoGrande—75.7%

Math GPT-5.4 nano leads

GPT-5.4 nano: 40.9 (#88), Llama 3-8B: 8.8 (#323)

BenchmarkGPT-5.4 nanoLlama 3-8B
OTIS Mock AIME 2024-202587.8%1.9%
LMArena Math14061151
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
ProofBench5%—
MATH Level 5—6.1%
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge GPT-5.4 nano leads

GPT-5.4 nano: 41.9 (#103), Llama 3-8B: 7.8 (#308)

BenchmarkGPT-5.4 nanoLlama 3-8B
GPQA Diamond78.5%26.1%
LMArena Expert13961113
SimpleQA Verified11.7%—
Vectara Hallucination Rate3.1%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

GPT-5.4 nano: 36.7 (#78), Llama 3-8B: —

BenchmarkGPT-5.4 nanoLlama 3-8B
LMArena Vision1196—

Multilingual GPT-5.4 nano leads

GPT-5.4 nano: 48.6 (#140), Llama 3-8B: 30.8 (#261)

BenchmarkGPT-5.4 nanoLlama 3-8B
LMArena Non-English13591098
LMArena Chinese13921076
LMArena French13961159
LMArena German13671104
LMArena Japanese1343967
LMArena Korean13201004
LMArena Russian13631109
LMArena Spanish13711173

Instruction Following GPT-5.4 nano leads

GPT-5.4 nano: 71.9 (#144), Llama 3-8B: 58.4 (#260)

BenchmarkGPT-5.4 nanoLlama 3-8B
LMArena Instruction Following13621127

Long Context GPT-5.4 nano leads

GPT-5.4 nano: 41.6 (#137), Llama 3-8B: 34.2 (#251)

BenchmarkGPT-5.4 nanoLlama 3-8B
LMArena Longer Query13661128

Writing & Preference GPT-5.4 nano leads

GPT-5.4 nano: 55.7 (#142), Llama 3-8B: 37.5 (#256)

BenchmarkGPT-5.4 nanoLlama 3-8B
LMArena Text13721166
LMArena Creative Writing13141150
LMArena Multi-Turn13821152

Frequently asked questions

Is GPT-5.4 nano better than Llama 3-8B?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 25.5 on the Noometry Index.

Is GPT-5.4 nano or Llama 3-8B better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 31.0 in the Noometry coding category.

How many benchmarks do GPT-5.4 nano and Llama 3-8B share?

23 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Llama 3-8B has 34.

Related comparisons

Go deeper