Model comparison

Gemini 2.5 Pro vs GPT-3.5-turbo

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 4.6× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 8 categories and GPT-3.5-turbo in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 10.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 2.2% for GPT-3.5-turbo.
  • GPT-3.5-turbo is cheaper at $0.50 / $1.50 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 16K.

Side by side

Gemini 2.5 Pro and GPT-3.5-turbo specifications
Gemini 2.5 ProGPT-3.5-turbo
ProviderGoogleOpenAI
Noometry Index45.023.2
Released2025-03-252023-03-01
WeightsProprietaryProprietary
Context window1.05M16K
Max output66K4K
Input $ / M tokens$1.25$0.50
Output $ / M tokens$10$1.50
Results tracked7844

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), GPT-3.5-turbo: 23.9 (#331)

Coding benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
WeirdML54%3.5%
LMArena Coding14521136
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
SciCode42.8%—
GSO3.9%—
BigCodeBench Instruct—39.1%
LiveBench Coding85.9%—
BigCodeBench Complete—50.6%
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—
HumanEval+—70.7%
MBPP+—69.7%

Agentic & Tool Use Not comparable

Gemini 2.5 Pro: 29.2 (#88), GPT-3.5-turbo: —

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
METR Time Horizons55.4%21.5%
Terminal-Bench32.6%—
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), GPT-3.5-turbo: 13.8 (#332)

Reasoning benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
Chess Puzzles20%0%
LMArena Hard Prompts14551108
DTBench82.4%48.5%
LMCA34.8%9.7%
Epoch Capabilities Index145.32118.55
ForecastBench61.350.4
ARC-AGI-24.9%—
SimpleBench62.4%—
Kagi LLM Benchmark70.3%—
ARC-AGI-141%—
CritPt2%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
Mystery Game Puzzles—3%
LiveBench Data Analysis79.9%—
Adversarial NLI—58.1%
BIG-Bench Hard—61.6%
CommonsenseQA 2.0—57%
LiveBench82.3%—
WinoGrande—81.6%

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 32.5 (#213), GPT-3.5-turbo: 6.3 (#327)

Math benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
FrontierMath (Tiers 1-3)24.6%0%
OTIS Mock AIME 2024-202584.7%2.2%
LMArena Math14501142
MATH Level 595.9%15.9%
FrontierMath Tier 40%—
Omni-MATH41.6%—
LiveBench Math90.2%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—57.8%

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), GPT-3.5-turbo: 10.0 (#303)

Knowledge benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
GPQA Diamond85.3%28%
LMArena Expert14521070
Humanity's Last Exam21.6%—
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—
ARC (AI2) Challenge—87.4%
BoolQ—87%
MMLU—71.4%
OpenBookQA—86%
TriviaQA—85.8%

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), GPT-3.5-turbo: —

Multimodal benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), GPT-3.5-turbo: 31.5 (#258)

Multilingual benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
LMArena Non-English14511108
LMArena Chinese15071075
LMArena French14721118
LMArena German14871090
LMArena Japanese14611043
LMArena Korean14341019
LMArena Russian14611123
LMArena Spanish14731121

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), GPT-3.5-turbo: 57.9 (#262)

Instruction Following benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
LMArena Instruction Following14371119
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), GPT-3.5-turbo: 34.0 (#254)

Long Context benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
LMArena Longer Query14491121
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), GPT-3.5-turbo: 25.3 (#305)

Writing & Preference benchmarks
BenchmarkGemini 2.5 ProGPT-3.5-turbo
LMArena Text14581125
LMArena Creative Writing14541092
EQ-Bench Creative Writing1421451
LMArena Multi-Turn14531117
Short-Story Creative Writing83.8%—
WildBench85.7%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than GPT-3.5-turbo?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 4.6× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro or GPT-3.5-turbo?

GPT-3.5-turbo is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or GPT-3.5-turbo better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 23.9 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 16K.

How many benchmarks do Gemini 2.5 Pro and GPT-3.5-turbo share?

29 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-3.5-turbo has 44.

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