Model comparison

GPT-3.5-turbo vs o1-pro

o1-pro is the stronger model overall, scoring 31.2 to 23.1 on the Noometry Index. GPT-3.5-turbo costs 350× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GPT-3.5-turbo OpenAI

23.1

Rank #345 Confirmed

o1-pro OpenAI

31.2

Rank #264 Reported

Summary

  • The widest gap is in knowledge, where o1-pro leads 29.3 to 10.0.
  • GPT-3.5-turbo is cheaper at $0.50 / $1.50 per million input/output tokens, against $150 / $600 for o1-pro.
  • o1-pro accepts more context: 200K tokens versus 16K.

Side by side

GPT-3.5-turbo and o1-pro specifications
GPT-3.5-turboo1-pro
ProviderOpenAIOpenAI
Noometry Index23.131.2
Released2023-03-012025-03-19
WeightsProprietaryProprietary
Context window16K200K
Max output4K100K
Input $ / M tokens$0.50$150
Output $ / M tokens$1.50$600
Results tracked443

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Category by category

Coding Not comparable

GPT-3.5-turbo: 23.5 (#326), o1-pro: —

Coding benchmarks
BenchmarkGPT-3.5-turboo1-pro
WeirdML3.5%—
BigCodeBench Instruct39.1%—
LMArena Coding1137—
BigCodeBench Complete50.6%—
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, o1-pro: —

Agentic & Tool Use benchmarks
BenchmarkGPT-3.5-turboo1-pro
METR Time Horizons21.5%—

Reasoning o1-pro leads

GPT-3.5-turbo: 13.3 (#328), o1-pro: 20.2 (#223)

Reasoning benchmarks
BenchmarkGPT-3.5-turboo1-pro
ARC-AGI-1—23.3%
Chess Puzzles0%—
EnigmaEval—6.1%
LMArena Hard Prompts1108—
Mystery Game Puzzles3%—
DTBench48.5%—
LMCA9.7%—
Adversarial NLI58.1%—
BIG-Bench Hard61.6%—
CommonsenseQA 2.057%—
Epoch Capabilities Index118.48—
ForecastBench50.4—
WinoGrande81.6%—

Math Not comparable

GPT-3.5-turbo: 6.0 (#321), o1-pro: —

Math benchmarks
BenchmarkGPT-3.5-turboo1-pro
FrontierMath (Tiers 1-3)0%—
OTIS Mock AIME 2024-20252.2%—
LMArena Math1142—
MATH Level 515.9%—
GSM8K57.8%—

Knowledge o1-pro leads

GPT-3.5-turbo: 10.0 (#298), o1-pro: 29.3 (#227)

Knowledge benchmarks
BenchmarkGPT-3.5-turboo1-pro
GPQA Diamond28%—
Humanity's Last Exam—8.1%
LMArena Expert1070—
ARC (AI2) Challenge87.4%—
BoolQ87%—
MMLU71.4%—
OpenBookQA86%—
TriviaQA85.8%—

Multilingual Not comparable

GPT-3.5-turbo: 31.6 (#253), o1-pro: —

Multilingual benchmarks
BenchmarkGPT-3.5-turboo1-pro
LMArena Non-English1108—
LMArena Chinese1075—
LMArena French1117—
LMArena German1090—
LMArena Japanese1043—
LMArena Korean1019—
LMArena Russian1123—
LMArena Spanish1120—

Instruction Following Not comparable

GPT-3.5-turbo: 58.1 (#257), o1-pro: —

Instruction Following benchmarks
BenchmarkGPT-3.5-turboo1-pro
LMArena Instruction Following1119—

Long Context Not comparable

GPT-3.5-turbo: 34.0 (#249), o1-pro: —

Long Context benchmarks
BenchmarkGPT-3.5-turboo1-pro
LMArena Longer Query1121—

Writing & Preference Not comparable

GPT-3.5-turbo: 25.4 (#300), o1-pro: —

Writing & Preference benchmarks
BenchmarkGPT-3.5-turboo1-pro
LMArena Text1125—
LMArena Creative Writing1092—
EQ-Bench Creative Writing451—
LMArena Multi-Turn1117—

Frequently asked questions

Is GPT-3.5-turbo better than o1-pro?

o1-pro is the stronger model overall, scoring 31.2 to 23.1 on the Noometry Index. GPT-3.5-turbo costs 350× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.

Which is cheaper, GPT-3.5-turbo or o1-pro?

GPT-3.5-turbo is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; o1-pro lists at $150 and $600.

Which has the bigger context window?

o1-pro does, with 200K tokens against 16K.

How many benchmarks do GPT-3.5-turbo and o1-pro share?

0 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and o1-pro has 3.

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