Model Comparison
Claude 3.5 Haiku vs DeepSeek R1 Zero
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.5 Haiku 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
Context Window
Maximum input and output token capacity
Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).
License
Usage and distribution terms
Claude 3.5 Haiku 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 3.5 Haiku was released on 2024-10-22, while DeepSeek R1 Zero was released on 2025-01-20.
DeepSeek R1 Zero is 3 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.6 years ago
Jan 20, 2025
1.3 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Claude 3.5 Haiku
View detailsAnthropic
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about Claude 3.5 Haiku vs DeepSeek R1 Zero.