Model Comparison

Qwen2.5-Coder 32B Instruct vs Qwen2.5 VL 7B Instruct

Comparing Qwen2.5-Coder 32B Instruct and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2.5-Coder 32B Instruct and Qwen2.5 VL 7B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

23.7B diff

Qwen2.5-Coder 32B Instruct has 23.7B more parameters than Qwen2.5 VL 7B Instruct, making it 286.0% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
32.0B
Qwen2.5-Coder 32B Instruct
8.3B
Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5-Coder 32B Instruct

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Coder 32B Instruct was released on 2024-09-19, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5 VL 7B Instruct is 4 months newer than Qwen2.5-Coder 32B Instruct.

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.3 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct

FAQ

Common questions about Qwen2.5-Coder 32B Instruct vs Qwen2.5 VL 7B Instruct.

Which is better, Qwen2.5-Coder 32B Instruct or Qwen2.5 VL 7B Instruct?

Qwen2.5-Coder 32B Instruct (Alibaba Cloud / Qwen Team) and Qwen2.5 VL 7B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Qwen2.5-Coder 32B Instruct compare to Qwen2.5 VL 7B Instruct in benchmarks?

Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%. 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 Qwen2.5-Coder 32B Instruct and Qwen2.5 VL 7B Instruct?

Qwen2.5-Coder 32B Instruct supports 128K 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 Qwen2.5-Coder 32B Instruct and Qwen2.5 VL 7B Instruct?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.