Model Comparison

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

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Gemini 1.0 Pro

Google

2024-02-15

Gemini Diffusion

Google

2025-05-20

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Gemini Diffusion

Max Context:-

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

Gemini Diffusion

+12.5%

Average Score:40.4%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

general

+13.5%

51.4%

Gemini Diffusion

general

37.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Gemini Diffusion

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

Gemini Diffusion

+12.5%

Avg Score:40.4%

Providers:0