DeepSeek R1 Distill Llama 8B vs GPT-5.2 Codex Comparison
Comparing DeepSeek R1 Distill Llama 8B and GPT-5.2 Codex across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 8B and GPT-5.2 Codex don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 Codex specifies input context (400,000 tokens). Only GPT-5.2 Codex specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.2 Codex supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.
GPT-5.2 Codex 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 Codex
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B is licensed under MIT, while GPT-5.2 Codex 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 Codex was released on 2026-01-14.
GPT-5.2 Codex is 12 months newer than DeepSeek R1 Distill Llama 8B.
Jan 20, 2025
1.1 years ago
Jan 14, 2026
1 months ago
11mo 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
Detailed Comparison
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