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.

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 1 common benchmarks

Gemini Diffusion

+7.6%

Average Score:40.4%

Llama 3.2 3B Instruct

Average Score:32.8%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Llama 3.2 3B Instruct

code

+16.9%

77.4%

general

+4.5%

42.5%

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

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Gemini Diffusion

+7.6%

Avg Score:40.4%

Providers:0

Llama 3.2 3B Instruct

Avg Score:32.8%

Providers:1