Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 2.2% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 858.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $11.22 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)
Gemini 2.5 Pro Preview 06-05
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.5 Pro Preview 06-05
Llama 3.2 3B Instruct
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Llama 3.2 3B Instruct
Gemini 2.5 Pro Preview 06-05
Llama 3.2 3B Instruct
Gemini 2.5 Pro Preview 06-05
Llama 3.2 3B Instruct
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