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-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

GPT-4.1

OpenAI

2025-04-14

Gemini Diffusion

Google

2025-05-20

1 month newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

GPT-4.1

Larger context

Max Context:1.1M

Average performance across 3 common benchmarks

Gemini Diffusion

Average Score:28.9%

GPT-4.1

+26.9%

Average Score:55.8%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

GPT-4.1

code

+26.9%

87.4%

general

+15.5%

53.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-4.1

2024-06-01

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-4.1

1 providers

OpenAI

Throughput: 100 tok/s

Latency: 10ms

Gemini Diffusion

Avg Score:28.9%

Providers:0

GPT-4.1

+26.9%

Avg Score:55.8%

Providers:1