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.

Grok-4

xAI

Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Gemini Diffusion

Google

2025-05-20

Grok-4

xAI

2025-07-09

1 month newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Grok-4

Larger context

Max Context:264.0K

Average performance across 3 common benchmarks

Gemini Diffusion

Average Score:31.5%

Grok-4

+54.5%

Average Score:86.1%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Grok-4

code

+18.5%

79.0%

general

+31.4%

69.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Grok-4

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Grok-4

2 providers

xAI

Throughput: 100 tok/s

Latency: 0.7ms

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

Gemini Diffusion

Avg Score:31.5%

Providers:0

Grok-4

+54.5%

Avg Score:86.1%

Providers:2