Comprehensive side-by-side LLM comparison
Claude Haiku 4.5 leads with 10.6% higher average benchmark score. Claude Haiku 4.5 offers 128.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $3.26 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Claude Haiku 4.5 is available on 3 providers. Overall, Claude Haiku 4.5 is the stronger choice for coding tasks.
Anthropic
Claude Haiku 4.5, released by Anthropic in October 2025, is a fast, efficient large language model from the Claude 4.5 family optimized for high-throughput, low-latency workloads. It features a 200K token context window, 64K maximum output tokens, native image understanding, and extended thinking capabilities. Haiku 4.5 targets latency-sensitive applications such as real-time assistants, document classification, and lightweight agentic tasks where rapid response times are a primary requirement.
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.
8 months newer

DeepSeek-R1
DeepSeek
2025-01-20

Claude Haiku 4.5
Anthropic
2025-10-01
Cost per million tokens (USD)
Claude Haiku 4.5
DeepSeek-R1
Context window and performance specifications
Average performance across 1 common benchmarks
Claude Haiku 4.5
DeepSeek-R1
Performance comparison across key benchmark categories
Claude Haiku 4.5
DeepSeek-R1
Claude Haiku 4.5
2025-02
Available providers and their performance metrics
Claude Haiku 4.5
Anthropic
AWS Bedrock
Google Cloud Vertex AI
DeepSeek-R1
Claude Haiku 4.5
DeepSeek-R1
Claude Haiku 4.5
DeepSeek-R1
DeepSeek