Comprehensive side-by-side LLM comparison
DeepSeek-R1 leads with 4.8% higher average benchmark score. Claude 3.5 Sonnet offers 72.1K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $15.26 cheaper per million tokens. Claude 3.5 Sonnet supports multimodal inputs. Claude 3.5 Sonnet is available on 3 providers. Both models have their strengths depending on your specific coding needs.
Anthropic
Claude 3.5 Sonnet, updated by Anthropic in October 2024 (originally released June 2024), is a large language model from the Claude 3.5 family that delivered strong performance in coding, reasoning, and instruction-following at its release. It supports a 200K token context window, 8K maximum output tokens, and native image understanding including screenshot analysis and document comprehension. Claude 3.5 Sonnet targets general-purpose development tasks, document analysis, and applications requiring reliable instruction following with visual input support.
DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
3 months newer

Claude 3.5 Sonnet
Anthropic
2024-10-22

DeepSeek-R1
DeepSeek
2025-01-20
Cost per million tokens (USD)
Claude 3.5 Sonnet
DeepSeek-R1
Context window and performance specifications
Average performance across 2 common benchmarks
Claude 3.5 Sonnet
DeepSeek-R1
Performance comparison across key benchmark categories
Claude 3.5 Sonnet
DeepSeek-R1
Claude 3.5 Sonnet
2024-04
Available providers and their performance metrics
Claude 3.5 Sonnet
Anthropic
AWS Bedrock
Google Cloud Vertex AI
DeepSeek-R1
Claude 3.5 Sonnet
DeepSeek-R1
Claude 3.5 Sonnet
DeepSeek-R1
DeepSeek