Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 28.9% higher average benchmark score. Llama 3.2 90B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Llama 3.2 90B Instruct is $1.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
7 months newer
Gemini 1.0 Pro
2024-02-15
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Gemini 1.0 Pro
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 17 common benchmarks
Gemini 1.0 Pro
Llama 3.2 90B Instruct
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Llama 3.2 90B Instruct
Gemini 1.0 Pro
Llama 3.2 90B Instruct
Gemini 1.0 Pro
Llama 3.2 90B Instruct
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