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.

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

o3-mini

OpenAI

2025-01-30

Gemini Diffusion

Google

2025-05-20

3 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

o3-mini

Larger context

Max Context:300.0K

Average performance across 2 common benchmarks

Gemini Diffusion

Average Score:31.6%

o3-mini

+31.6%

Average Score:63.3%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

o3-mini

code

+33.4%

93.9%

general

+17.3%

55.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

o3-mini

2 providers

Azure

Throughput: 115 tok/s

Latency: 5.2ms

OpenAI

Throughput: 115 tok/s

Latency: 5.2ms

Gemini Diffusion

Avg Score:31.6%

Providers:0

o3-mini

+31.6%

Avg Score:63.3%

Providers:2