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GPT-4 vs Qwen2.5 32B Instruct

GPT-4 and Qwen2.5 32B Instruct are closely matched at 3.7 and 8.3 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4 and Qwen2.5 32B Instruct are closely matched on the overall LLM Stats Score at 3.7 and 8.3.

The models split the 6 individual benchmarks reported for both models evenly.

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

Choose GPT-4

  • you want predictable pricing at $30.00/M input and $60.00/M output

Choose Qwen2.5 32B 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.

Core performance indexes
3.7
#288
8.3
#263
3.7
#280
7.7
#262
-5.1
#242
9.5
#157
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
Input price
$30.00 / M
— / M
Output price
$60.00 / M
— / M
Context window
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
Qwen2.5 32B Instruct
8.8#244
16.8#189
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 18 for Qwen2.5 32B Instruct

6 shared

GPT-4 outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Qwen2.5 32B Instruct is better at 3 benchmarks (GPQA, HumanEval, MATH).

Both models are evenly matched across the benchmarks.

Sun Aug 30 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-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

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

GPT-4

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 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-4

Proprietary

Closed source

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Qwen2.5 32B Instruct was released on 2024-09-19.

Qwen2.5 32B Instruct is 15 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.2 years ago

Qwen2.5 32B Instruct

Sep 19, 2024

1.9 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2.5 32B Instruct's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Qwen2.5 32B Instruct's cutoff date.

GPT-4

Dec 2022

Qwen2.5 32B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about GPT-4 vs Qwen2.5 32B Instruct.

Which is better, GPT-4 or Qwen2.5 32B Instruct?

GPT-4 and Qwen2.5 32B Instruct are closely matched on the LLM Stats Score at 3.7 and 8.3. GPT-4 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-4 compare to Qwen2.5 32B Instruct in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. 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-4 and Qwen2.5 32B Instruct?

GPT-4 supports 33K 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-4 and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (3.7 vs 8.3), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 and Qwen2.5 32B Instruct?

GPT-4 is developed by OpenAI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.