Model Comparison

GPT-4 Turbo vs Qwen2.5-Coder 7B Instruct

GPT-4 Turbo shows notably better performance in the majority of benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4 Turbo outperforms in 2 benchmarks (MATH, MMLU), while Qwen2.5-Coder 7B Instruct is better at 1 benchmark (HumanEval).

GPT-4 Turbo shows notably better performance in the majority of benchmarks.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

GPT-4 Turbo

Input128,000 tokens

Output4,096 tokens

Qwen2.5-Coder 7B Instruct

Input- tokens

Output- tokens

Wed May 06 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 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-4 Turbo

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 5 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.6 years ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen2.5-Coder 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

GPT-4 Turbo

View details

OpenAI

Larger context window (128,000 tokens)

Higher MATH score (72.6% vs 46.6%)

Higher MMLU score (86.5% vs 67.6%)

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher HumanEval score (88.4% vs 87.1%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4 Turbo	Qwen2.5-Coder 7B Instruct

FAQ

Common questions about GPT-4 Turbo vs Qwen2.5-Coder 7B Instruct.

Which is better, GPT-4 Turbo or Qwen2.5-Coder 7B Instruct?

GPT-4 Turbo shows notably better performance in the majority of benchmarks. GPT-4 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-4 Turbo compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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-4 Turbo and Qwen2.5-Coder 7B Instruct?

GPT-4 Turbo supports 128K 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-4 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-4 Turbo and Qwen2.5-Coder 7B Instruct?

GPT-4 Turbo is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.