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.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

GPT-3.5 Turbo

Input16,385 tokens

Output4,096 tokens

Qwen2.5-Coder 7B Instruct

Input- tokens

Output- tokens

Fri May 29 2026 • llm-stats.com

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.

GPT-3.5 Turbo

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

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.

GPT-3.5 Turbo

Mar 21, 2023

3.2 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.7 years ago

1.5yr newer

Knowledge 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.

GPT-3.5 Turbo

Sep 2021

Qwen2.5-Coder 7B Instruct

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Outputs Comparison

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Key Takeaways

GPT-3.5 Turbo

View details

OpenAI

Larger context window (16,385 tokens)

Higher MMLU score (69.8% vs 67.6%)

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher HumanEval score (88.4% vs 68.0%)

Higher MATH score (46.6% vs 43.1%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-3.5 Turbo	Qwen2.5-Coder 7B Instruct

FAQ

Common questions about GPT-3.5 Turbo vs Qwen2.5-Coder 7B Instruct.

Which is better, GPT-3.5 Turbo or Qwen2.5-Coder 7B Instruct?

Qwen2.5-Coder 7B Instruct shows notably better performance in the majority of benchmarks. GPT-3.5 Turbo is made by OpenAI and Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-3.5 Turbo compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for GPT-3.5 Turbo and Qwen2.5-Coder 7B Instruct?

GPT-3.5 Turbo supports 16K tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-3.5 Turbo and Qwen2.5-Coder 7B Instruct?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Qwen2.5-Coder 7B Instruct?

GPT-3.5 Turbo is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.