DeepSeek R1 Distill Qwen 7B vs GPT-4.5 Comparison
Comparing DeepSeek R1 Distill Qwen 7B and GPT-4.5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while GPT-4.5 is better at 1 benchmark (GPQA).
Both models are evenly matched across the 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-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
GPT-4.5 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.
GPT-4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 7B
GPT-4.5
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 7B is licensed under MIT, while GPT-4.5 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 Qwen 7B was released on 2025-01-20, while GPT-4.5 was released on 2025-02-27.
GPT-4.5 is 1 month newer than DeepSeek R1 Distill Qwen 7B.
Jan 20, 2025
1.2 years ago
Feb 27, 2025
1.0 years ago
1mo 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
GPT-4.5
View detailsOpenAI
Detailed Comparison
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