Model Comparison
GPT-3.5 Turbo vs Qwen2.5-Coder 7B Instruct
Qwen2.5-Coder 7B Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-3.5 Turbo outperforms in 1 benchmarks (MMLU), while Qwen2.5-Coder 7B Instruct is better at 2 benchmarks (HumanEval, MATH).
Qwen2.5-Coder 7B Instruct shows notably better performance in the majority of 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-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).
License
Usage and distribution terms
GPT-3.5 Turbo is licensed under a proprietary license, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.
Qwen2.5-Coder 7B Instruct is 18 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.0 years ago
Sep 19, 2024
1.5 years ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.
Sep 2021
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Outputs Comparison
Key Takeaways
Qwen2.5-Coder 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-3.5 Turbo vs Qwen2.5-Coder 7B Instruct