Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 9.9% higher average benchmark score. DeepSeek-V3.1 offers 63.7K more tokens in context window than Claude Sonnet 4.5. DeepSeek-V3.1 is $16.73 cheaper per million tokens. Claude Sonnet 4.5 supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
Anthropic
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 75.8% across 9 benchmarks. It excels particularly in MMMLU (89.1%), AIME 2025 (87.0%), TAU-bench Retail (86.2%). It supports a 264K token context window for handling large documents. 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 Anthropic's latest advancement in AI technology.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
8 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Claude Sonnet 4.5
Anthropic
2025-09-29
Cost per million tokens (USD)
Claude Sonnet 4.5
DeepSeek-V3.1
Context window and performance specifications
Average performance across 20 common benchmarks
Claude Sonnet 4.5
DeepSeek-V3.1
Claude Sonnet 4.5
2025-01-31
Available providers and their performance metrics
Claude Sonnet 4.5
Anthropic
ZeroEval
Claude Sonnet 4.5
DeepSeek-V3.1
Claude Sonnet 4.5
DeepSeek-V3.1
DeepSeek-V3.1
DeepInfra
Novita