Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 50.3% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 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.
3 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Gemini 2.0 Flash Thinking
2025-01-21
Context window and performance specifications
Average performance across 14 common benchmarks
Gemini 2.0 Flash Thinking
Llama 3.2 90B Instruct
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
Llama 3.2 90B Instruct
Bedrock
Gemini 2.0 Flash Thinking
Llama 3.2 90B Instruct
Gemini 2.0 Flash Thinking
Llama 3.2 90B Instruct
DeepInfra
Fireworks
Hyperbolic
Together