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.

Nova Lite

Amazon

Nova Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), ARC-C (92.4%), DocVQA (92.4%). It supports a 302K token context window for handling large documents. 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 2024, it represents Amazon's latest advancement in AI technology.

Nova Lite

Amazon

2024-11-20

Gemini Diffusion

Google

2025-05-20

6 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Nova Lite

Larger context

Max Context:302.0K

Average performance across 2 common benchmarks

Gemini Diffusion

+1.3%

Average Score:65.0%

Nova Lite

Average Score:63.7%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Nova Lite

code

+27.1%

87.5%

general

+27.0%

64.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Nova Lite

1 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

+1.3%

Avg Score:65.0%

Providers:0

Nova Lite

Avg Score:63.7%

Providers:1