Model Comparison

GLM-5 vs Grok-1.5VWhich is better in 2026?

Comparing GLM-5 and Grok-1.5V across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Grok-1.5V — which is better?

GLM-5 (by Zhipu AI) and Grok-1.5V (by xAI) 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
  • you need open weights you can self-host or fine-tune

Choose Grok-1.5V if…

  • you are already invested in the xAI ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Grok-1.5Vdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

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
xAI
Grok-1.5V
Input- tokens
Output- tokens
Mon Jul 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-1.5V supports multimodal inputs, whereas GLM-5 does not.

Grok-1.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Grok-1.5V uses a proprietary license.

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

GLM-5

MIT

Open weights

Grok-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Grok-1.5V was released on 2024-04-12.

GLM-5 is 22 months newer than Grok-1.5V.

GLM-5

Feb 11, 2026

5 months ago

1.8yr newer
Grok-1.5V

Apr 12, 2024

2.3 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)
Has open weights
xAI
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and Grok-1.5V side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
Grok-1.5V
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
xAI
Grok-1.5V

FAQ

Common questions about GLM-5 vs Grok-1.5V.

Which is better, GLM-5 or Grok-1.5V?

GLM-5 (Zhipu AI) and Grok-1.5V (xAI) 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 Grok-1.5V 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%. Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%.

What are the context window sizes for GLM-5 and Grok-1.5V?

GLM-5 supports 200K tokens and Grok-1.5V 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 Grok-1.5V?

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

Who makes GLM-5 and Grok-1.5V?

GLM-5 is developed by Zhipu AI and Grok-1.5V is developed by xAI.

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