Model Comparison

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

Google

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.

Amazon

Nova Pro

Amazon

Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K 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.

Amazon

Nova Pro

Amazon

2024-11-20

Google

Gemini Diffusion

Google

2025-05-20

6 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini Diffusion

Max Context:-
Amazon

Nova Pro

Larger context
Max Context:600.0K

Average performance across 2 common benchmarks

Google

Gemini Diffusion

Average Score:65.0%
Amazon

Nova Pro

+3.0%
Average Score:68.0%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

code
60.5%
general
37.9%
Amazon

Nova Pro

code
+30.1%
90.5%
general
+29.4%
67.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini Diffusion

0 providers
Amazon

Nova Pro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemini Diffusion

Avg Score:65.0%
Providers:0
Amazon

Nova Pro

+3.0%
Avg Score:68.0%
Providers:1