Model comparison

o1 vs Qwen-14B

o1 is the stronger model overall, scoring 40.9 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

o1 OpenAI

40.9

Rank #143 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. o1 scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where o1 leads 55.6 to 27.6.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

o1 and Qwen-14B specifications
o1Qwen-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index40.931.4
Released2024-09-122023-09-24
WeightsProprietaryOpen
Context window200K—
Max output100K—
Input $ / M tokens$15—
Output $ / M tokens$60—
Results tracked5218

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Category by category

Coding o1 leads

o1: 46.1 (#70), Qwen-14B: 31.2 (#288)

Coding benchmarks
Benchmarko1Qwen-14B
LMArena Coding13671071
Aider Polyglot61.7%—
WeirdML47.6%—
LiveBench Coding69.7%—
CadEval56%—
HumanEval+89%—
MBPP+80.2%—

Agentic & Tool Use Not comparable

o1: 24.6 (#117), Qwen-14B: —

Agentic & Tool Use benchmarks
Benchmarko1Qwen-14B
Cybench10%—
METR Time Horizons51.1%—

Reasoning o1 leads

o1: 27.9 (#111), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
Benchmarko1Qwen-14B
LMArena Hard Prompts13711027
Epoch Capabilities Index141.91113.03
SimpleBench41.7%—
ARC-AGI-130.7%—
Chess Puzzles15%—
EnigmaEval5.7%—
LiveBench Reasoning91.6%—
DTBench74.7%—
LiveBench Data Analysis65.5%—
LMCA22.3%—
BIG-Bench Hard—55%
LAMBADA—71.1%
LiveBench75.7%—
PIQA—79.9%

Math o1 leads

o1: 36.1 (#175), Qwen-14B: 31.2 (#227)

Math benchmarks
Benchmarko1Qwen-14B
LMArena Math13881068
FrontierMath (Tiers 1-3)14.7%—
OTIS Mock AIME 2024-202573.3%—
LiveBench Math80.3%—
MATH Level 594.7%—
FrontierMath (Feb 2025 set)9.3%—
GSM8K—61.3%

Knowledge Not comparable

o1: 41.5 (#110), Qwen-14B: —

Knowledge benchmarks
Benchmarko1Qwen-14B
GPQA Diamond76.8%—
Humanity's Last Exam8%—
SimpleQA Verified41.1%—
Confabulations11.7%—
LMArena Expert1361—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

o1: 34.2 (#93), Qwen-14B: —

Multimodal benchmarks
Benchmarko1Qwen-14B
LMArena Vision1168—
GeoBench80%—
VPCT37%—
SpatialViz-Bench41.4%—

Multilingual o1 leads

o1: 48.6 (#142), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
Benchmarko1Qwen-14B
LMArena Non-English13581041
LMArena Chinese13941077
LMArena French1344—
LMArena German1337—
LMArena Japanese1346—
LMArena Korean1396—
LMArena Russian1356—
LMArena Spanish1345—

Instruction Following o1 leads

o1: 74.8 (#86), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
Benchmarko1Qwen-14B
LMArena Instruction Following13671031
LiveBench Instruction Following81.5%—

Long Context o1 leads

o1: 50.3 (#9), Qwen-14B: 31.3 (#280)

Long Context benchmarks
Benchmarko1Qwen-14B
LMArena Longer Query13781028
Fiction.LiveBench83.3%—

Writing & Preference o1 leads

o1: 55.6 (#144), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
Benchmarko1Qwen-14B
LMArena Text13661051
LMArena Creative Writing13481028
LMArena Multi-Turn13691022
Short-Story Creative Writing70.2%—
LiveBench Language65.4%—

Frequently asked questions

Is o1 better than Qwen-14B?

o1 is the stronger model overall, scoring 40.9 to 31.4 on the Noometry Index.

Is o1 or Qwen-14B better for coding?

o1 scores higher on coding benchmarks: 46.1 versus 31.2 in the Noometry coding category.

How many benchmarks do o1 and Qwen-14B share?

11 benchmarks have published results for both models. o1 has 52 scored results on Noometry and Qwen-14B has 18.

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