Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1

OpenAI

2024-12-17

Google

Gemini Diffusion

Google

2025-05-20

5 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini Diffusion

Max Context:-
OpenAI

o1

Larger context
Max Context:300.0K

Average performance across 3 common benchmarks

Google

Gemini Diffusion

Average Score:51.0%
OpenAI

o1

+18.1%
Average Score:69.0%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

code
60.5%
general
37.9%
OpenAI

o1

code
+27.6%
88.1%
general
+33.9%
71.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini Diffusion

0 providers
OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Google

Gemini Diffusion

Avg Score:51.0%
Providers:0
OpenAI

o1

+18.1%
Avg Score:69.0%
Providers:2