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 Micro

Amazon

Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.

Nova Micro

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 Micro

Larger context

Max Context:256.0K

Average performance across 2 common benchmarks

Gemini Diffusion

+4.4%

Average Score:65.0%

Nova Micro

Average Score:60.6%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Nova Micro

code

+23.7%

84.2%

general

+22.1%

60.0%

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 Micro

1 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

+4.4%

Avg Score:65.0%

Providers:0

Nova Micro

Avg Score:60.6%

Providers:1