Noometry

Model comparison

GPT-4.1 nano vs Llama 3-70B

GPT-4.1 nano and Llama 3-70B score almost the same on the Noometry Index (27.9 vs 28.8), so choose on price, context window or the category you care about most.

Last verified . 20 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 nano scores higher in 5 categories and Llama 3-70B in 4 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-4.1 nano leads 26.9 to 12.8.
  • The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano and 22.6% for Llama 3-70B.
  • Llama 3-70B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoLlama 3-70B
ProviderOpenAIMeta
Noometry Index27.928.8
Released2025-04-142024-04-18
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3831

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Category by category

Coding Llama 3-70B leads

GPT-4.1 nano: 24.1 (#330), Llama 3-70B: 35.8 (#218)

BenchmarkGPT-4.1 nanoLlama 3-70B
LMArena Coding13061206
Aider Polyglot8.9%—
SciCode25.9%—
WeirdML19%—
BigCodeBench Instruct—43.6%
BigCodeBench Complete—54.5%
HumanEval+—72%
MBPP+—69%

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), Llama 3-70B: 21.1 (#139)

BenchmarkGPT-4.1 nanoLlama 3-70B
Berkeley Function Calling Leaderboard33%—
Cybench—5%

Reasoning Llama 3-70B leads

GPT-4.1 nano: 8.5 (#349), Llama 3-70B: 18.0 (#288)

BenchmarkGPT-4.1 nanoLlama 3-70B
Kagi LLM Benchmark33.3%35.1%
LMArena Hard Prompts12861195
DTBench52.5%54.2%
Epoch Capabilities Index129.62122.93
ARC-AGI-20%—
ARC-AGI-10%—
CritPt0%—
LMCA5.5%—
ForecastBench—57.1
WinoGrande—83.5%

Math GPT-4.1 nano leads

GPT-4.1 nano: 26.9 (#252), Llama 3-70B: 12.8 (#305)

BenchmarkGPT-4.1 nanoLlama 3-70B
OTIS Mock AIME 2024-202528.9%4.3%
LMArena Math12741218
MATH Level 570%22.6%
Omni-MATH36.7%—
FrontierMath (Feb 2025 set)1%—

Knowledge GPT-4.1 nano leads

GPT-4.1 nano: 21.8 (#273), Llama 3-70B: 20.8 (#277)

BenchmarkGPT-4.1 nanoLlama 3-70B
GPQA Diamond48.9%40.6%
LMArena Expert12721149
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—
MMLU—79.3%

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Llama 3-70B: —

BenchmarkGPT-4.1 nanoLlama 3-70B
LMArena Vision1063—

Multilingual GPT-4.1 nano leads

GPT-4.1 nano: 41.6 (#205), Llama 3-70B: 33.6 (#251)

BenchmarkGPT-4.1 nanoLlama 3-70B
LMArena Non-English12601142
LMArena Chinese12701114
LMArena German12881169
LMArena Japanese11981017
LMArena Russian12611159
LMArena French—1232
LMArena Korean—1017
LMArena Spanish—1241

Instruction Following GPT-4.1 nano leads

GPT-4.1 nano: 67.8 (#193), Llama 3-70B: 62.5 (#238)

BenchmarkGPT-4.1 nanoLlama 3-70B
LMArena Instruction Following12671194
IFEval84.3%—

Long Context Llama 3-70B leads

GPT-4.1 nano: 23.7 (#296), Llama 3-70B: 35.6 (#240)

BenchmarkGPT-4.1 nanoLlama 3-70B
LMArena Longer Query12831174
Fiction.LiveBench25%—

Writing & Preference Llama 3-70B leads

GPT-4.1 nano: 40.5 (#243), Llama 3-70B: 42.8 (#231)

BenchmarkGPT-4.1 nanoLlama 3-70B
LMArena Text12851221
LMArena Creative Writing12601210
LMArena Multi-Turn12771223
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than Llama 3-70B?

GPT-4.1 nano and Llama 3-70B score almost the same on the Noometry Index (27.9 vs 28.8), so choose on price, context window or the category you care about most.

Is GPT-4.1 nano or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.8 versus 24.1 in the Noometry coding category.

How many benchmarks do GPT-4.1 nano and Llama 3-70B share?

20 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Llama 3-70B has 31.

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