Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 16.9% higher average benchmark score. Claude 3.5 Haiku offers 170.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $4.12 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
Anthropic
Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Anthropic's latest advancement in AI technology.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
11 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
Claude 3.5 Haiku
DeepSeek-V3.2-Exp
Context window and performance specifications
Average performance across 19 common benchmarks
Claude 3.5 Haiku
DeepSeek-V3.2-Exp
Available providers and their performance metrics
Claude 3.5 Haiku
Anthropic
Bedrock
Claude 3.5 Haiku
DeepSeek-V3.2-Exp
Claude 3.5 Haiku
DeepSeek-V3.2-Exp
DeepSeek-V3.2-Exp
Novita
ZeroEval