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GPT-4o mini vs Qwen2.5-Coder 7B Instruct

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

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4o mini outperforms in 2 benchmarks (MATH, MMLU), while Qwen2.5-Coder 7B Instruct is better at 1 benchmark (HumanEval). GPT-4o mini shows notably better performance in the majority of benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GPT-4o mini

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Qwen2.5-Coder 7B Instruct

  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
2 of 3
1 of 3
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
128,000
Released
Jul 2024
Sep 2024
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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

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

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o mini

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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-4o mini

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 2 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.1 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.9 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-4o mini

Oct 2023

Qwen2.5-Coder 7B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4o mini and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

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

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

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

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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-4o mini and Qwen2.5-Coder 7B Instruct?

GPT-4o mini 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-4o mini and Qwen2.5-Coder 7B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Qwen2.5-Coder 7B Instruct?

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