Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 11.2% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Llama 3.2 3B Instruct. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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.
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.
8 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.5 Flash-Lite
Llama 3.2 3B Instruct
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Llama 3.2 3B Instruct
Gemini 2.5 Flash-Lite
Llama 3.2 3B Instruct
Gemini 2.5 Flash-Lite
Llama 3.2 3B Instruct
DeepInfra