Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 22.0% higher average benchmark score. Claude Opus 4.1 offers 215.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $89.58 cheaper per million tokens. Claude Opus 4.1 supports multimodal inputs. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). It supports a 232K token context window for handling large documents. The model is available through 4 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-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Claude Opus 4.1
Anthropic
2025-08-05
Cost per million tokens (USD)
Claude Opus 4.1
DeepSeek-V2.5
Context window and performance specifications
Average performance across 22 common benchmarks
Claude Opus 4.1
DeepSeek-V2.5
Available providers and their performance metrics
Claude Opus 4.1
Anthropic
Bedrock
ZeroEval
Claude Opus 4.1
DeepSeek-V2.5
Claude Opus 4.1
DeepSeek-V2.5
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic