Model comparison

o1-mini vs Qwen1.5-14B

o1-mini is the stronger model overall, scoring 34.0 to 32.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

o1-mini OpenAI

34.0

Rank #235 Confirmed

Qwen1.5-14B Alibaba (Qwen)

32.7

Rank #253 Confirmed

Summary

  • They share 16 benchmarks with published results for both. o1-mini scores higher in 7 categories and Qwen1.5-14B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where o1-mini leads 48.4 to 33.6.
  • Qwen1.5-14B has downloadable open weights; the other is API-only.

Side by side

o1-mini and Qwen1.5-14B specifications
o1-miniQwen1.5-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index34.032.7
Released2024-09-122024-02-04
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3917

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Category by category

Coding o1-mini leads

o1-mini: 35.5 (#224), Qwen1.5-14B: 33.1 (#263)

Coding benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Coding13621138
Aider Polyglot32.9%—
WeirdML36.3%—
LiveBench Coding48%—
HumanEval+89%—
MBPP+78.8%—

Agentic & Tool Use Not comparable

o1-mini: 24.6 (#118), Qwen1.5-14B: —

Agentic & Tool Use benchmarks
Benchmarko1-miniQwen1.5-14B
Cybench10%—

Reasoning Qwen1.5-14B leads

o1-mini: 8.8 (#346), Qwen1.5-14B: 21.4 (#223)

Reasoning benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Hard Prompts13331113
ARC-AGI-20.8%—
SimpleBench18.1%—
ARC-AGI-114%—
LiveBench Reasoning72.3%—
LiveBench Data Analysis57.9%—
Epoch Capabilities Index135.82—
LiveBench57.8%—

Math o1-mini leads

o1-mini: 35.4 (#186), Qwen1.5-14B: 32.4 (#215)

Math benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Math13581125
OTIS Mock AIME 2024-202546.9%—
LiveBench Math62%—
MATH Level 589.2%—
FrontierMath (Feb 2025 set)1.7%—

Knowledge o1-mini leads

o1-mini: 34.9 (#192), Qwen1.5-14B: 29.8 (#232)

Knowledge benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Expert13161094
GPQA Diamond62.4%—
Confabulations18.6%—
MMLU—68.6%

Multilingual o1-mini leads

o1-mini: 43.6 (#182), Qwen1.5-14B: 30.7 (#262)

Multilingual benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Non-English12891095
LMArena Chinese13141147
LMArena French12931116
LMArena German12781043
LMArena Japanese12451019
LMArena Russian12831046
LMArena Spanish13031085
LMArena Korean1223—

Instruction Following o1-mini leads

o1-mini: 66.7 (#206), Qwen1.5-14B: 56.8 (#271)

Instruction Following benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Instruction Following13041102
LiveBench Instruction Following65.4%—

Long Context o1-mini leads

o1-mini: 40.1 (#161), Qwen1.5-14B: 33.7 (#257)

Long Context benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Longer Query13201113

Writing & Preference o1-mini leads

o1-mini: 48.4 (#202), Qwen1.5-14B: 33.6 (#276)

Writing & Preference benchmarks
Benchmarko1-miniQwen1.5-14B
LMArena Text13171128
LMArena Creative Writing12441091
LMArena Multi-Turn13141110
Short-Story Creative Writing64.9%—
LiveBench Language40.9%—

Frequently asked questions

Is o1-mini better than Qwen1.5-14B?

o1-mini is the stronger model overall, scoring 34.0 to 32.7 on the Noometry Index.

Is o1-mini or Qwen1.5-14B better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 33.1 in the Noometry coding category.

How many benchmarks do o1-mini and Qwen1.5-14B share?

16 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Qwen1.5-14B has 17.

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