Model Comparison
Claude Opus 4.5 vs DeepSeek R1 Zero
Claude Opus 4.5 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.5 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Zero is better at 0 benchmarks.
Claude Opus 4.5 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 Opus 4.5 specifies input context (200,000 tokens). Only Claude Opus 4.5 specifies output context (64,000 tokens).
Input Capabilities
Supported data types and modalities
Claude Opus 4.5 supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Claude Opus 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.5
DeepSeek R1 Zero
License
Usage and distribution terms
Claude Opus 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 Opus 4.5 was released on 2025-11-24, while DeepSeek R1 Zero was released on 2025-01-20.
Claude Opus 4.5 is 10 months newer than DeepSeek R1 Zero.
Nov 24, 2025
4 months ago
10mo newerJan 20, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Claude Opus 4.5 has a documented knowledge cutoff of 2025-03-31, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm Claude Opus 4.5's training data extends to 2025-03-31, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
Mar 2025
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Outputs Comparison
Key Takeaways
Claude Opus 4.5
View detailsAnthropic
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about Claude Opus 4.5 vs DeepSeek R1 Zero