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Qwen2.5 7B Instruct vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 2.5.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to 2.5, ranking #236 overall.

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

Choose Qwen2.5 7B Instruct

  • you want the most recent training data — it shipped Sep 2024

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.3 and ranks #236 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Core performance indexes
2.5
#312
14.3
#236
2.6
#305
11.6
#251
Cost, coverage & limits
Benchmark wins
Input price
$0.30 / M
— / M
Output price
$0.30 / M
— / M
Context window
131,072

Individual benchmarks

14 reported for Qwen2.5 7B Instruct · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Qwen2.5 7B Instruct and Qwen2-VL-72B-Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

65.8B diff

Qwen2-VL-72B-Instruct has 65.8B more parameters than Qwen2.5 7B Instruct, making it 864.5% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
7.6B
Qwen2.5 7B Instruct
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5 7B Instruct

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2.5 7B Instruct is licensed under Apache 2.0, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Qwen2.5 7B Instruct was released on 2024-09-19, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2.5 7B Instruct is 1 month newer than Qwen2-VL-72B-Instruct.

Qwen2.5 7B Instruct

Sep 19, 2024

2.0 years ago

3w newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen2.5 7B Instruct's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Qwen2.5 7B Instruct's cutoff date.

Qwen2.5 7B Instruct

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Qwen2.5 7B Instruct and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Qwen2.5 7B Instruct
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Qwen2.5 7B Instruct vs Qwen2-VL-72B-Instruct.

Which is better, Qwen2.5 7B Instruct or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 2.5. Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2-VL-72B-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 Qwen2.5 7B Instruct compare to Qwen2-VL-72B-Instruct in benchmarks?

Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Qwen2.5 7B Instruct and Qwen2-VL-72B-Instruct?

Qwen2.5 7B Instruct supports 131K tokens and Qwen2-VL-72B-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 Qwen2.5 7B Instruct and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (2.5 vs 14.3), multimodal support (no vs yes), licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.