Claude Haiku 4.5 vs DeepSeek R1 Zero Comparison
Comparing Claude Haiku 4.5 and DeepSeek R1 Zero across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 0 benchmarks, while DeepSeek R1 Zero is better at 1 benchmark (GPQA).
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Claude Haiku 4.5 specifies input context (200,000 tokens). Only Claude Haiku 4.5 specifies output context (64,000 tokens).
Input Capabilities
Supported data types and modalities
Claude Haiku 4.5 supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
DeepSeek R1 Zero
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while DeepSeek R1 Zero uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while DeepSeek R1 Zero was released on 2025-01-20.
Claude Haiku 4.5 is 9 months newer than DeepSeek R1 Zero.
Oct 15, 2025
5 months ago
8mo newerJan 20, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
Feb 2025
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Outputs Comparison
Key Takeaways
Claude Haiku 4.5
View detailsAnthropic
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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