Model comparison

Llama 2-7B vs o1-mini

o1-mini is the stronger model overall, scoring 34.0 to 29.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 2-7B Meta

29.1

Rank #317 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and o1-mini in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where o1-mini leads 48.4 to 28.0.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

Llama 2-7B and o1-mini specifications
Llama 2-7Bo1-mini
ProviderMetaOpenAI
Noometry Index29.134.0
Released2023-07-182024-09-12
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2939

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Category by category

Coding o1-mini leads

Llama 2-7B: 29.2 (#307), o1-mini: 35.5 (#224)

Coding benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Coding10021362
Aider Polyglot—32.9%
WeirdML—36.3%
LiveBench Coding—48%
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use Not comparable

Llama 2-7B: —, o1-mini: 24.6 (#118)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-7Bo1-mini
Cybench—10%

Reasoning Llama 2-7B leads

Llama 2-7B: 15.7 (#312), o1-mini: 8.8 (#346)

Reasoning benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Hard Prompts10091333
Epoch Capabilities Index99.06135.82
ARC-AGI-2—0.8%
SimpleBench—18.1%
ARC-AGI-1—14%
Chess Puzzles0%—
LiveBench Reasoning—72.3%
LiveBench Data Analysis—57.9%
BIG-Bench Hard39.2%—
HellaSwag77.2%—
LAMBADA73.3%—
LiveBench—57.8%
PIQA78.8%—
WinoGrande69.2%—

Math o1-mini leads

Llama 2-7B: 30.7 (#233), o1-mini: 35.4 (#186)

Math benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Math10421358
OTIS Mock AIME 2024-2025—46.9%
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath (Feb 2025 set)—1.7%
GSM8K16.7%—

Knowledge o1-mini leads

Llama 2-7B: 28.2 (#248), o1-mini: 34.9 (#192)

Knowledge benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Expert10361316
GPQA Diamond—62.4%
Confabulations—18.6%
ARC (AI2) Challenge45.9%—
BoolQ77.9%—
MMLU45.8%—
OpenBookQA58.6%—
TriviaQA73.7%—

Multimodal Not comparable

Llama 2-7B: —, o1-mini: —

Multimodal benchmarks
BenchmarkLlama 2-7Bo1-mini
ScienceQA43.1%—

Multilingual o1-mini leads

Llama 2-7B: 23.8 (#293), o1-mini: 43.6 (#182)

Multilingual benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Non-English9731289
LMArena Chinese9731314
LMArena French9701293
LMArena German9781278
LMArena Russian9951283
LMArena Spanish10071303
LMArena Japanese—1245
LMArena Korean—1223

Instruction Following o1-mini leads

Llama 2-7B: 50.8 (#298), o1-mini: 66.7 (#206)

Instruction Following benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Instruction Following10061304
LiveBench Instruction Following—65.4%

Long Context o1-mini leads

Llama 2-7B: 30.4 (#287), o1-mini: 40.1 (#161)

Long Context benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Longer Query9991320

Writing & Preference o1-mini leads

Llama 2-7B: 28.0 (#298), o1-mini: 48.4 (#202)

Writing & Preference benchmarks
BenchmarkLlama 2-7Bo1-mini
LMArena Text10531317
LMArena Creative Writing10331244
LMArena Multi-Turn10291314
Short-Story Creative Writing—64.9%
LiveBench Language—40.9%

Frequently asked questions

Is Llama 2-7B better than o1-mini?

o1-mini is the stronger model overall, scoring 34.0 to 29.1 on the Noometry Index.

Is Llama 2-7B or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 29.2 in the Noometry coding category.

How many benchmarks do Llama 2-7B and o1-mini share?

16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and o1-mini has 39.

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