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GPT-4.1 mini vs QwQ-32B

GPT-4.1 mini and QwQ-32B are closely matched at 14.0 and 14.8 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4.1 mini and QwQ-32B are closely matched on the overall LLM Stats Score at 14.0 and 14.8.

In the 3 individual benchmarks reported for both models, QwQ-32B wins 2; 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-4.1 mini

  • you want the most recent training data — it shipped Apr 2025

Choose QwQ-32B

  • your work emphasizes coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
14.0
#247
14.8
#240
13.9
#240
15.6
#231
-3.3
#261
10.3
#172
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.40 / M
— / M
Output price
$1.60 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4.1 mini
QwQ-32B
13.6#227
18.1#188
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for GPT-4.1 mini · 7 for QwQ-32B

3 shared

GPT-4.1 mini outperforms in 1 benchmarks (IFEval), while QwQ-32B is better at 2 benchmarks (AIME 2024, GPQA).

QwQ-32B shows notably better performance in the majority of benchmarks.

Fri Oct 02 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-4.1 mini specifies input context (1,047,576 tokens). Only GPT-4.1 mini specifies output context (32,768 tokens).

OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 mini supports multimodal inputs, whereas QwQ-32B does not.

GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 mini

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 mini is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

GPT-4.1 mini

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini was released on 2025-04-14, while QwQ-32B was released on 2025-03-05.

GPT-4.1 mini is 1 month newer than QwQ-32B.

GPT-4.1 mini

Apr 14, 2025

1.5 years ago

1mo newer
QwQ-32B

Mar 5, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a knowledge cutoff of 2024-05-31, while QwQ-32B has a cutoff of 2024-11-28.

QwQ-32B has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to GPT-4.1 mini (2024-05-31).

GPT-4.1 mini

May 2024

QwQ-32B

Nov 2024

6 mo newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4.1 mini and QwQ-32B side-by-side, then vote on the output you prefer.

GPT-4.1 mini
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about GPT-4.1 mini vs QwQ-32B.

Which is better, GPT-4.1 mini or QwQ-32B?

GPT-4.1 mini and QwQ-32B are closely matched on the LLM Stats Score at 14.0 and 14.8. GPT-4.1 mini is made by OpenAI and QwQ-32B 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-4.1 mini compare to QwQ-32B in benchmarks?

GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for GPT-4.1 mini and QwQ-32B?

GPT-4.1 mini supports 1.0M tokens and QwQ-32B 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-4.1 mini and QwQ-32B?

Key differences include LLM Stats Score (14.0 vs 14.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 mini and QwQ-32B?

GPT-4.1 mini is developed by OpenAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.