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GPT-6 Luna vs Qwen2.5 32B Instruct

GPT-6 Luna leads the LLM Stats Score 44.5 to 7.7.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 7.7, ranking #40 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #40 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen2.5 32B Instruct

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

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
44.5
#40
7.7
#290
Reasoning
40.0
#58
7.2
#289
Coding
31.4
#47
9.4
#178
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Luna · 18 for Qwen2.5 32B Instruct

No common benchmarks found

GPT-6 Luna and Qwen2.5 32B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while Qwen2.5 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Luna

Proprietary

Closed source

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Qwen2.5 32B Instruct was released on 2024-09-19.

GPT-6 Luna is 24 months newer than Qwen2.5 32B Instruct.

GPT-6 Luna

Sep 22, 2026

0 days ago

2.0yr newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Qwen2.5 32B Instruct's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Qwen2.5 32B Instruct's cutoff date.

GPT-6 Luna

May 2026

Qwen2.5 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Luna and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Qwen2.5 32B Instruct.

Which is better, GPT-6 Luna or Qwen2.5 32B Instruct?

GPT-6 Luna leads the LLM Stats Score 44.5 to 7.7. GPT-6 Luna is made by OpenAI and Qwen2.5 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to Qwen2.5 32B Instruct in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for GPT-6 Luna and Qwen2.5 32B Instruct?

GPT-6 Luna supports 1.1M tokens and Qwen2.5 32B 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-6 Luna and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (44.5 vs 7.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Qwen2.5 32B Instruct?

GPT-6 Luna is developed by OpenAI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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