Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 8.8% higher average benchmark score. Claude 3 Haiku offers 72.3K more tokens in context window than DeepSeek-V3.1. Both models have similar pricing. Claude 3 Haiku supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
10 months newer
Claude 3 Haiku
Anthropic
2024-03-13
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
Claude 3 Haiku
DeepSeek-V3.1
Context window and performance specifications
Average performance across 25 common benchmarks
Claude 3 Haiku
DeepSeek-V3.1
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
DeepSeek-V3.1
Claude 3 Haiku
DeepSeek-V3.1
DeepSeek-V3.1
DeepInfra
Novita