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

Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 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
Meta
2024-09-25

Gemini 2.0 Flash-Lite
2025-02-05
4 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite

Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Llama 3.2 3B Instruct
Average performance across 2 common benchmarks

Gemini 2.0 Flash-Lite

Llama 3.2 3B Instruct
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Llama 3.2 3B Instruct
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Llama 3.2 3B Instruct
DeepInfra

Gemini 2.0 Flash-Lite

Llama 3.2 3B Instruct