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-preview

OpenAI

o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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-preview

OpenAI

2024-09-12

Google

Gemini Diffusion

Google

2025-05-20

8 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini Diffusion

Max Context:-
OpenAI

o1-preview

Larger context
Max Context:160.8K

Average performance across 2 common benchmarks

Google

Gemini Diffusion

Average Score:31.6%
OpenAI

o1-preview

+25.6%
Average Score:57.3%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

general
37.9%
OpenAI

o1-preview

general
+20.0%
58.0%
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-preview

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Google

Gemini Diffusion

Avg Score:31.6%
Providers:0
OpenAI

o1-preview

+25.6%
Avg Score:57.3%
Providers:2