Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 7.7% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B 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 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
8 months newer
Llama 3.2 11B 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 11B Instruct
Context window and performance specifications
Average performance across 22 common benchmarks
Gemini 2.5 Flash-Lite
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Llama 3.2 11B Instruct
Gemini 2.5 Flash-Lite
Llama 3.2 11B Instruct
Gemini 2.5 Flash-Lite
Llama 3.2 11B Instruct
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