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GPT-4.1 vs Qwen2.5 VL 7B Instruct

GPT-4.1 leads the LLM Stats Score 18.2 to 6.8.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4.1 leads the overall LLM Stats Score 18.2 to 6.8, ranking #203 overall.

In the 1 individual benchmarks reported for both models, GPT-4.1 wins 1; 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

  • overall performance matters — it scores 18.2 and ranks #203 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2025

Choose Qwen2.5 VL 7B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
18.2
#203
6.8
#281
18.6
#195
3.4
#288
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

4 shared
Index
GPT-4.1
Qwen2.5 VL 7B Instruct
16.4#198
3.5#279
9.8#122
5.1#153
16.1#44
0.6#106
15.8#83
7.3#127
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for GPT-4.1 · 32 for Qwen2.5 VL 7B Instruct

1 shared

GPT-4.1 outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks.

GPT-4.1 significantly outperforms across most benchmarks.

Sun Sep 06 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
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.1 and Qwen2.5 VL 7B Instruct support multimodal inputs.

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

GPT-4.1

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

GPT-4.1

Proprietary

Closed source

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

GPT-4.1 is 3 months newer than Qwen2.5 VL 7B Instruct.

GPT-4.1

Apr 14, 2025

1.4 years ago

2mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 VL 7B Instruct'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 Qwen2.5 VL 7B Instruct's cutoff date.

GPT-4.1

Jun 2024

Qwen2.5 VL 7B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4.1 and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

GPT-4.1
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about GPT-4.1 vs Qwen2.5 VL 7B Instruct.

Which is better, GPT-4.1 or Qwen2.5 VL 7B Instruct?

GPT-4.1 leads the LLM Stats Score 18.2 to 6.8. GPT-4.1 is made by OpenAI and Qwen2.5 VL 7B 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-4.1 compare to Qwen2.5 VL 7B Instruct in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for GPT-4.1 and Qwen2.5 VL 7B Instruct?

GPT-4.1 supports 1.0M tokens and Qwen2.5 VL 7B 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-4.1 and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (18.2 vs 6.8), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 and Qwen2.5 VL 7B Instruct?

GPT-4.1 is developed by OpenAI and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.