Noometry

Model comparison

Llama 3-70B vs o1-mini

o1-mini is the stronger model overall, scoring 33.7 to 28.5 on the Noometry Index.

Last verified . 24 shared benchmarks.

Llama 3-70B Meta

28.5

Rank #317 Confirmed

o1-mini OpenAI

33.7

Rank #230 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Llama 3-70B scores higher in 2 categories and o1-mini in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where o1-mini leads 33.7 to 12.0.
  • The biggest single-benchmark swing is MATH Level 5: 22.6% for Llama 3-70B and 89.2% for o1-mini.
  • Llama 3-70B has downloadable open weights; the other is API-only.

Side by side

Llama 3-70Bo1-mini
ProviderMetaOpenAI
Noometry Index28.533.7
Released2024-04-182024-09-12
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3139

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Category by category

Coding Too close to call

Llama 3-70B: 35.3 (#215), o1-mini: 35.1 (#218)

BenchmarkLlama 3-70Bo1-mini
LMArena Coding12061362
HumanEval+72%89%
MBPP+69%78.8%
Aider Polyglot—32.9%
WeirdML—36.3%
BigCodeBench Instruct43.6%—
LiveBench Coding—48%
BigCodeBench Complete54.5%—

Agentic & Tool Use o1-mini leads

Llama 3-70B: 20.9 (#132), o1-mini: 24.3 (#112)

BenchmarkLlama 3-70Bo1-mini
Cybench5%10%

Reasoning Llama 3-70B leads

Llama 3-70B: 17.4 (#284), o1-mini: 8.9 (#340)

BenchmarkLlama 3-70Bo1-mini
LMArena Hard Prompts11951333
Epoch Capabilities Index122.91135.82
ARC-AGI-2—0.8%
SimpleBench—18.1%
Kagi LLM Benchmark35.1%—
ARC-AGI-1—14%
LiveBench Reasoning—72.3%
DTBench54.2%—
LiveBench Data Analysis—57.9%
ForecastBench57.1—
LiveBench—57.8%
WinoGrande83.5%—

Math o1-mini leads

Llama 3-70B: 12.0 (#299), o1-mini: 33.7 (#168)

BenchmarkLlama 3-70Bo1-mini
OTIS Mock AIME 2024-20254.3%46.9%
LMArena Math12181358
MATH Level 522.6%89.2%
LiveBench Math—62%
FrontierMath (Feb 2025 set)—1.7%

Knowledge o1-mini leads

Llama 3-70B: 20.8 (#272), o1-mini: 34.8 (#180)

BenchmarkLlama 3-70Bo1-mini
GPQA Diamond40.6%62.4%
LMArena Expert11491316
Confabulations—18.6%
MMLU79.3%—

Multilingual o1-mini leads

Llama 3-70B: 33.8 (#246), o1-mini: 43.8 (#177)

BenchmarkLlama 3-70Bo1-mini
LMArena Non-English11421289
LMArena Chinese11141314
LMArena French12311292
LMArena German11691278
LMArena Japanese10171245
LMArena Korean10171223
LMArena Russian11591283
LMArena Spanish12411302

Instruction Following o1-mini leads

Llama 3-70B: 62.8 (#233), o1-mini: 67.0 (#200)

BenchmarkLlama 3-70Bo1-mini
LMArena Instruction Following11941304
LiveBench Instruction Following—65.4%

Long Context o1-mini leads

Llama 3-70B: 35.6 (#235), o1-mini: 40.1 (#156)

BenchmarkLlama 3-70Bo1-mini
LMArena Longer Query11741321

Writing & Preference o1-mini leads

Llama 3-70B: 43.0 (#225), o1-mini: 48.6 (#196)

BenchmarkLlama 3-70Bo1-mini
LMArena Text12211317
LMArena Creative Writing12101244
LMArena Multi-Turn12231314
Short-Story Creative Writing—64.9%
LiveBench Language—40.9%

Frequently asked questions

Is Llama 3-70B better than o1-mini?

o1-mini is the stronger model overall, scoring 33.7 to 28.5 on the Noometry Index.

Is Llama 3-70B or o1-mini better for coding?

They score almost the same on coding (35.3 vs 35.1); test both on your own repository before choosing.

How many benchmarks do Llama 3-70B and o1-mini share?

24 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and o1-mini has 39.

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