Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 9.6% higher average benchmark score. Claude 3.5 Haiku offers 137.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $3.43 cheaper per million tokens. Claude 3.5 Haiku is available on 3 providers. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
Anthropic
Claude 3.5 Haiku was developed as the next generation of Anthropic's fastest model, offering similar speed to Claude 3 Haiku while surpassing Claude 3 Opus on many intelligence benchmarks. Built with low latency, improved instruction following, and accurate tool use, it serves user-facing products, specialized sub-agent tasks, and data-heavy applications.
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.
2 months newer

Claude 3.5 Haiku
Anthropic
2024-10-22

DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)

Claude 3.5 Haiku

DeepSeek-V3
Context window and performance specifications
Average performance across 4 common benchmarks

Claude 3.5 Haiku

DeepSeek-V3
Performance comparison across key benchmark categories

Claude 3.5 Haiku

DeepSeek-V3
Available providers and their performance metrics

Claude 3.5 Haiku
Anthropic
Bedrock

Claude 3.5 Haiku

DeepSeek-V3

Claude 3.5 Haiku

DeepSeek-V3

DeepSeek-V3
DeepSeek