Model Comparison

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

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.

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.

o1-mini

OpenAI

2024-09-12

Gemini Diffusion

Google

2025-05-20

8 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

o1-mini

Larger context

Max Context:193.5K

Average performance across 2 common benchmarks

Gemini Diffusion

Average Score:65.0%

o1-mini

+11.2%

Average Score:76.2%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

o1-mini

code

+31.9%

92.4%

general

+20.1%

58.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

o1-mini

2 providers

Azure

Throughput: 100 tok/s

Latency: 0.5ms

OpenAI

Throughput: 115 tok/s

Latency: 5.2ms

Gemini Diffusion

Avg Score:65.0%

Providers:0

o1-mini

+11.2%

Avg Score:76.2%

Providers:2