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.

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K 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.

GPT-4 Turbo

OpenAI

2024-04-09

Gemini Diffusion

Google

2025-05-20

1 year newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

GPT-4 Turbo

Larger context

Max Context:132.1K

Average performance across 2 common benchmarks

Gemini Diffusion

Average Score:65.0%

GPT-4 Turbo

+2.5%

Average Score:67.5%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

GPT-4 Turbo

code

+26.6%

87.1%

general

+35.6%

73.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s

Latency: 0.6ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

Avg Score:65.0%

Providers:0

GPT-4 Turbo

+2.5%

Avg Score:67.5%

Providers:2