The AI arena is free today

Open Superagent

GPT-5 vs Qwen2.5 32B Instruct

GPT-5 leads the LLM Stats Score 33.2 to 6.9.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5 leads the overall LLM Stats Score 33.2 to 6.9, ranking #125 overall.

In the 4 individual benchmarks reported for both models, GPT-5 wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-5

  • overall performance matters — it scores 33.2 and ranks #125 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Aug 2025

Choose Qwen2.5 32B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
33.2
#125
6.9
#324
33.6
#115
6.4
#320
26.3
#87
9.3
#201
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5
Qwen2.5 32B Instruct
31.4#75
16.3#222
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

4 shared

GPT-5 outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MMLU), while Qwen2.5 32B Instruct is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Sun Nov 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Sun Nov 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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-5

Proprietary

Closed source

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Qwen2.5 32B Instruct was released on 2024-09-19.

GPT-5 is 11 months newer than Qwen2.5 32B Instruct.

GPT-5

Aug 7, 2025

1.2 years ago

10mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Qwen2.5 32B Instruct's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen2.5 32B Instruct's cutoff date.

GPT-5

Sep 2024

Qwen2.5 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

GPT-5 leads the LLM Stats Score 33.2 to 6.9. GPT-5 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-5 compare to Qwen2.5 32B Instruct in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. 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-5 and Qwen2.5 32B Instruct?

GPT-5 supports 400K 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-5 and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (33.2 vs 6.9), 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 and Qwen2.5 32B Instruct?

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