Model Comparison

GLM-5 vs Qwen2.5 VL 7B InstructWhich is better in 2026?

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

Verdict: GLM-5 vs Qwen2.5 VL 7B Instruct — which is better?

GLM-5 (by Zhipu AI) and Qwen2.5 VL 7B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GLM-5 if…

you want the most recent training data — it shipped Feb 2026

Choose Qwen2.5 VL 7B Instruct if…

you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Qwen2.5 VL 7B Instructdon'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

735.7B diff

GLM-5 has 735.7B more parameters than Qwen2.5 VL 7B Instruct, making it 8874.7% larger.

GLM-5

744.0Bparameters

Qwen2.5 VL 7B Instruct

8.3Bparameters

744.0B

GLM-5

8.3B

Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

GLM-5

Input200,000 tokens

Output128,000 tokens

Qwen2.5 VL 7B Instruct

Input- tokens

Output- tokens

Thu Jun 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GLM-5

Text

Images

Audio

Video

Qwen2.5 VL 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, 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.

GLM-5

MIT

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

GLM-5 is 13 months newer than Qwen2.5 VL 7B Instruct.

GLM-5

Feb 11, 2026

4 months ago

1.0yr newer

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.4 years ago

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

GLM-5

View details

Zhipu AI

Larger context window (200,000 tokens)

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature	GLM-5	Qwen2.5 VL 7B Instruct

FAQ

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

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

GLM-5 (Zhipu AI) 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 GLM-5 compare to Qwen2.5 VL 7B Instruct in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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 GLM-5 and Qwen2.5 VL 7B Instruct?

GLM-5 supports 200K 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 GLM-5 and Qwen2.5 VL 7B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

GLM-5 is developed by Zhipu AI and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.

GLM-5 vs Qwen2.5 VL 7B InstructWhich is better in 2026?

Verdict: GLM-5 vs Qwen2.5 VL 7B Instruct — which is better?

Choose GLM-5 if…

Choose Qwen2.5 VL 7B Instruct if…

Performance Benchmarks

Arena Performance

Model Size

Context Window

Input Capabilities

GLM-5

Qwen2.5 VL 7B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

GLM-5

Qwen2.5 VL 7B Instruct

Detailed Comparison

FAQ

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

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

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

What are the main differences between GLM-5 and Qwen2.5 VL 7B Instruct?

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

More GLM-5 comparisons

More Qwen2.5 VL 7B Instruct comparisons

GLM-5 vs Qwen2.5 VL 7B InstructWhich is better in 2026?

Verdict: GLM-5 vs Qwen2.5 VL 7B Instruct — which is better?

Choose GLM-5 if…

Choose Qwen2.5 VL 7B Instruct if…

Performance Benchmarks

Arena Performance

Model Size

Context Window

Input Capabilities

GLM-5

Qwen2.5 VL 7B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

GLM-5

Qwen2.5 VL 7B Instruct

Detailed Comparison

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

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

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

What are the main differences between GLM-5 and Qwen2.5 VL 7B Instruct?

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

Related comparisons

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