Model Comparison

GPT-5.6 Luna vs Qwen2.5-Coder 7B InstructWhich is better in 2026?

Comparing GPT-5.6 Luna and Qwen2.5-Coder 7B Instruct across benchmarks, pricing, and capabilities.

Verdict: GPT-5.6 Luna vs Qwen2.5-Coder 7B Instruct — which is better?

GPT-5.6 Luna (by OpenAI) and Qwen2.5-Coder 7B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GPT-5.6 Luna if…

  • you want the most recent training data — it shipped Jul 2026

Choose Qwen2.5-Coder 7B Instruct if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.6 Luna and Qwen2.5-Coder 7B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Luna supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Luna

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna 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-5.6 Luna

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

GPT-5.6 Luna is 22 months newer than Qwen2.5-Coder 7B Instruct.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1.8yr newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

GPT-5.6 Luna

Feb 2026

Qwen2.5-Coder 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct

FAQ

Common questions about GPT-5.6 Luna vs Qwen2.5-Coder 7B Instruct.

Which is better, GPT-5.6 Luna or Qwen2.5-Coder 7B Instruct?

GPT-5.6 Luna (OpenAI) and Qwen2.5-Coder 7B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5.6 Luna compare to Qwen2.5-Coder 7B Instruct in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. 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-5.6 Luna and Qwen2.5-Coder 7B Instruct?

GPT-5.6 Luna supports 1.1M 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-5.6 Luna 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-5.6 Luna and Qwen2.5-Coder 7B Instruct?

GPT-5.6 Luna is developed by OpenAI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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