Model Comparison

GLM-5 vs Qwen2.5-Omni-7BWhich is better in 2026?

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

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

GLM-5 (by Zhipu AI) and Qwen2.5-Omni-7B (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-Omni-7B 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-Omni-7B 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

737.0B diff

GLM-5 has 737.0B more parameters than Qwen2.5-Omni-7B, making it 10528.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
744.0B
GLM-5
7.0B
Qwen2.5-Omni-7B

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).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Qwen2.5-Omni-7B 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-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen2.5-Omni-7B 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-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen2.5-Omni-7B was released on 2025-03-27.

GLM-5 is 11 months newer than Qwen2.5-Omni-7B.

GLM-5

Feb 11, 2026

3 months ago

10mo newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.2 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

Zhipu AI
Larger context window (200,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about GLM-5 vs Qwen2.5-Omni-7B.

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

GLM-5 (Zhipu AI) and Qwen2.5-Omni-7B (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-Omni-7B 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-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.

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

GLM-5 supports 200K tokens and Qwen2.5-Omni-7B 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-Omni-7B?

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-Omni-7B?

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

Related comparisons