Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 1.4% higher average benchmark score. Gemini 2.5 Flash offers 858.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $2.77 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
7 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Flash
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 2.5 Flash
Llama 3.2 3B Instruct
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
Llama 3.2 3B Instruct
Gemini 2.5 Flash
Llama 3.2 3B Instruct
Llama 3.2 3B Instruct
DeepInfra