Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 33.8% higher average benchmark score. DeepSeek-V3 0324 offers 71.7K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $0.67 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.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek'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.
6 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-V3 0324
Llama 3.2 90B Instruct
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Llama 3.2 90B Instruct
DeepSeek-V3 0324
Llama 3.2 90B Instruct
DeepSeek-V3 0324
Llama 3.2 90B Instruct
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DeepInfra
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