Comprehensive side-by-side LLM comparison
Claude Haiku 4.5 leads with 22.6% higher average benchmark score. Claude Haiku 4.5 offers 137.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $4.63 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Overall, Claude Haiku 4.5 is the stronger choice for coding tasks.
Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
9 months newer

DeepSeek-V3
DeepSeek
2024-12-25

Claude Haiku 4.5
Anthropic
2025-10-15
Cost per million tokens (USD)

Claude Haiku 4.5

DeepSeek-V3
Context window and performance specifications
Average performance across 2 common benchmarks

Claude Haiku 4.5

DeepSeek-V3
Performance comparison across key benchmark categories

Claude Haiku 4.5

DeepSeek-V3
Claude Haiku 4.5
2025-02-01
Available providers and their performance metrics

Claude Haiku 4.5
Anthropic

DeepSeek-V3

Claude Haiku 4.5

DeepSeek-V3

Claude Haiku 4.5

DeepSeek-V3
DeepSeek