DeepSeek R1 Distill Llama 8B vs GPT-5.2 Comparison
Comparing DeepSeek R1 Distill Llama 8B and GPT-5.2 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while GPT-5.2 is better at 1 benchmark (GPQA).
GPT-5.2 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 GPT-5.2 specifies input context (400,000 tokens). Only GPT-5.2 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.2 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 8B
GPT-5.2
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B is licensed under MIT, while GPT-5.2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while GPT-5.2 was released on 2025-12-11.
GPT-5.2 is 11 months newer than DeepSeek R1 Distill Llama 8B.
Jan 20, 2025
1.1 years ago
Dec 11, 2025
3 months ago
10mo newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.
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Aug 2025
Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
Detailed Comparison
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