Model comparison

Llama 3.2 1B vs o1-mini

o1-mini is the stronger model overall, scoring 34.0 to 20.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 3.2 1B Meta

20.1

Rank #354 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 3.2 1B scores higher in 1 category and o1-mini in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where o1-mini leads 34.9 to 7.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Llama 3.2 1B and 46.9% for o1-mini.
  • Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

Llama 3.2 1B and o1-mini specifications
Llama 3.2 1Bo1-mini
ProviderMetaOpenAI
Noometry Index20.134.0
Released2024-09-242024-09-12
WeightsOpenProprietary
Context window60K—
Max output54K—
Input $ / M tokens$0.027—
Output $ / M tokens$0.20—
Results tracked2239

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Category by category

Coding o1-mini leads

Llama 3.2 1B: 21.1 (#338), o1-mini: 35.5 (#224)

Coding benchmarks
BenchmarkLlama 3.2 1Bo1-mini
LMArena Coding10701362
Aider Polyglot—32.9%
WeirdML—36.3%
BigCodeBench Instruct8.2%—
LiveBench Coding—48%
BigCodeBench Complete11.3%—
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use o1-mini leads

Llama 3.2 1B: 14.6 (#150), o1-mini: 24.6 (#118)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.2 1Bo1-mini
Berkeley Function Calling Leaderboard10.8%—
Cybench—10%
BALROG6.6%—

Reasoning Llama 3.2 1B leads

Llama 3.2 1B: 16.2 (#308), o1-mini: 8.8 (#346)

Reasoning benchmarks
BenchmarkLlama 3.2 1Bo1-mini
LMArena Hard Prompts10441333
Epoch Capabilities Index101.99135.82
ARC-AGI-2—0.8%
SimpleBench—18.1%
ARC-AGI-1—14%
Chess Puzzles0%—
LiveBench Reasoning—72.3%
LiveBench Data Analysis—57.9%
LiveBench—57.8%

Math o1-mini leads

Llama 3.2 1B: 10.4 (#313), o1-mini: 35.4 (#186)

Math benchmarks
BenchmarkLlama 3.2 1Bo1-mini
OTIS Mock AIME 2024-20250.6%46.9%
LMArena Math10861358
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath (Feb 2025 set)—1.7%

Knowledge o1-mini leads

Llama 3.2 1B: 7.2 (#312), o1-mini: 34.9 (#192)

Knowledge benchmarks
BenchmarkLlama 3.2 1Bo1-mini
GPQA Diamond23.9%62.4%
LMArena Expert10071316
Confabulations—18.6%

Multilingual o1-mini leads

Llama 3.2 1B: 23.8 (#292), o1-mini: 43.6 (#182)

Multilingual benchmarks
BenchmarkLlama 3.2 1Bo1-mini
LMArena Non-English9731289
LMArena Chinese9591314
LMArena German10141278
LMArena Russian9411283
LMArena French—1293
LMArena Japanese—1245
LMArena Korean—1223
LMArena Spanish—1303

Instruction Following o1-mini leads

Llama 3.2 1B: 52.4 (#290), o1-mini: 66.7 (#206)

Instruction Following benchmarks
BenchmarkLlama 3.2 1Bo1-mini
LMArena Instruction Following10311304
LiveBench Instruction Following—65.4%

Long Context o1-mini leads

Llama 3.2 1B: 31.9 (#274), o1-mini: 40.1 (#161)

Long Context benchmarks
BenchmarkLlama 3.2 1Bo1-mini
LMArena Longer Query10501320

Writing & Preference o1-mini leads

Llama 3.2 1B: 21.3 (#310), o1-mini: 48.4 (#202)

Writing & Preference benchmarks
BenchmarkLlama 3.2 1Bo1-mini
LMArena Text10551317
LMArena Creative Writing10331244
LMArena Multi-Turn10301314
Short-Story Creative Writing—64.9%
EQ-Bench Creative Writing200—
LiveBench Language—40.9%

Frequently asked questions

Is Llama 3.2 1B better than o1-mini?

o1-mini is the stronger model overall, scoring 34.0 to 20.1 on the Noometry Index.

Is Llama 3.2 1B or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 21.1 in the Noometry coding category.

How many benchmarks do Llama 3.2 1B and o1-mini share?

16 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and o1-mini has 39.

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