Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
Gemini 1.0 Pro
2024-02-15
Llama 3.2 3B Instruct
Meta
2024-09-25
7 months newer
Pricing Comparison
Cost per million tokens (USD)
Gemini 1.0 Pro
Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications
Gemini 1.0 Pro
Llama 3.2 3B Instruct
Average performance across 3 common benchmarks
Gemini 1.0 Pro
Llama 3.2 3B Instruct
Performance comparison across key benchmark categories
Gemini 1.0 Pro
Llama 3.2 3B Instruct
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics
Gemini 1.0 Pro
Llama 3.2 3B Instruct
DeepInfra
Gemini 1.0 Pro
Llama 3.2 3B Instruct