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GPT-4.1 vs QvQ-72B-Preview

GPT-4.1 and QvQ-72B-Preview are closely matched at 18.0 and 7.9 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4.1 and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 18.0 and 7.9.

In the 2 individual benchmarks reported for both models, GPT-4.1 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

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Apr 2025

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

GPT-4.1
OpenAI
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
18.0
#215
7.9
#282
Reasoning
18.4
#207
8.2
#276
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4.1
QvQ-72B-Preview
Math
16.3#207
9.6#253
Vision
9.2#128
6.3#147
Multimodal
15.1#89
9.6#118
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for GPT-4.1 · 4 for QvQ-72B-Preview

2 shared

GPT-4.1 outperforms in 2 benchmarks (MathVista, MMMU), while QvQ-72B-Preview is better at 0 benchmarks.

GPT-4.1 significantly outperforms across most benchmarks.

Sun Sep 20 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 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.1 and QvQ-72B-Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

GPT-4.1

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while QvQ-72B-Preview was released on 2024-12-25.

GPT-4.1 is 4 months newer than QvQ-72B-Preview.

GPT-4.1

Apr 14, 2025

1.4 years ago

3mo newer
QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

GPT-4.1

Jun 2024

QvQ-72B-Preview

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-4.1 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

GPT-4.1
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about GPT-4.1 vs QvQ-72B-Preview.

Which is better, GPT-4.1 or QvQ-72B-Preview?

GPT-4.1 and QvQ-72B-Preview are closely matched on the LLM Stats Score at 18.0 and 7.9. GPT-4.1 is made by OpenAI and QvQ-72B-Preview 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 compare to QvQ-72B-Preview in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for GPT-4.1 and QvQ-72B-Preview?

GPT-4.1 supports 1.0M tokens and QvQ-72B-Preview 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 and QvQ-72B-Preview?

Key differences include LLM Stats Score (18.0 vs 7.9), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 and QvQ-72B-Preview?

GPT-4.1 is developed by OpenAI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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