Model comparison

o1-pro vs Qwen2.5 72B Instruct

o1-pro and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.5 vs 31.9), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

o1-pro OpenAI

31.5

Rank #271 Reported

Qwen2.5 72B Instruct Alibaba (Qwen)

31.9

Rank #267 Confirmed

Summary

  • Qwen2.5 72B Instruct is cheaper at $1.40 / $5.60 per million input/output tokens, against $150 / $600 for o1-pro.
  • o1-pro accepts more context: 200K tokens versus 131K.
  • Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.

Side by side

o1-pro and Qwen2.5 72B Instruct specifications
o1-proQwen2.5 72B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index31.531.9
Released2025-03-192024-09
WeightsProprietaryOpen
Context window200K131K
Max output100K8K
Input $ / M tokens$150$1.40
Output $ / M tokens$600$5.60
Results tracked343

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Category by category

Coding Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 33.2 (#260)

Coding benchmarks
Benchmarko1-proQwen2.5 72B Instruct
WeirdML—16%
BigCodeBench Instruct—45.8%
LMArena Coding—1292
BigCodeBench Complete—55.9%

Agentic & Tool Use Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 22.1 (#133)

Agentic & Tool Use benchmarks
Benchmarko1-proQwen2.5 72B Instruct
TheAgentCompany—5.7%
BALROG—16.2%
METR Time Horizons—35.8%

Reasoning Qwen2.5 72B Instruct leads

o1-pro: 20.4 (#239), Qwen2.5 72B Instruct: 22.3 (#199)

Reasoning benchmarks
Benchmarko1-proQwen2.5 72B Instruct
ARC-AGI-123.3%—
EnigmaEval6.1%—
LMArena Hard Prompts—1271
DTBench—62.9%
LMCA—13.4%
BIG-Bench Hard—79.8%
Epoch Capabilities Index—129
ForecastBench—57.5
HellaSwag—84.8%
PIQA—82.6%
WinoGrande—82.3%

Math Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 19.3 (#287)

Math benchmarks
Benchmarko1-proQwen2.5 72B Instruct
OTIS Mock AIME 2024-2025—8.1%
Omni-MATH—33%
LMArena Math—1283
MATH Level 5—63.2%

Knowledge o1-pro leads

o1-pro: 29.7 (#234), Qwen2.5 72B Instruct: 27.0 (#253)

Knowledge benchmarks
Benchmarko1-proQwen2.5 72B Instruct
GPQA Diamond—49.1%
Humanity's Last Exam8.1%—
MMLU-Pro—63.1%
Confabulations—19.1%
GPQA (HELM)—42.6%
LMArena Expert—1245
ARC (AI2) Challenge—94.5%
MMLU—85.3%
TriviaQA—71.9%

Multilingual Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 41.0 (#213)

Multilingual benchmarks
Benchmarko1-proQwen2.5 72B Instruct
LMArena Non-English—1252
LMArena Chinese—1272
LMArena French—1280
LMArena German—1234
LMArena Japanese—1180
LMArena Korean—1188
LMArena Russian—1264
LMArena Spanish—1256

Instruction Following Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 65.5 (#221)

Instruction Following benchmarks
Benchmarko1-proQwen2.5 72B Instruct
IFEval—80.6%
LMArena Instruction Following—1254

Long Context Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 38.9 (#188)

Long Context benchmarks
Benchmarko1-proQwen2.5 72B Instruct
LMArena Longer Query—1282

Writing & Preference Not comparable

o1-pro: —, Qwen2.5 72B Instruct: 46.7 (#215)

Writing & Preference benchmarks
Benchmarko1-proQwen2.5 72B Instruct
LMArena Text—1269
LMArena Creative Writing—1221
WildBench—80.2%
LMArena Multi-Turn—1272

Frequently asked questions

Is o1-pro better than Qwen2.5 72B Instruct?

o1-pro and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.5 vs 31.9), so choose on price, context window or the category you care about most.

Which is cheaper, o1-pro or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct is cheaper. It lists at $1.40 per million input tokens and $5.60 per million output tokens; o1-pro lists at $150 and $600.

Which has the bigger context window?

o1-pro does, with 200K tokens against 131K.

How many benchmarks do o1-pro and Qwen2.5 72B Instruct share?

0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen2.5 72B Instruct has 43.

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