Model Comparison

GLM-5 vs Grok-4 HeavyWhich is better in 2026?

Comparing GLM-5 and Grok-4 Heavy across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Grok-4 Heavy — which is better?

GLM-5 (by Zhipu AI) and Grok-4 Heavy (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 need open weights you can self-host or fine-tune

Choose Grok-4 Heavy if…

  • you are already invested in the xAI ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Grok-4 Heavy don'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-4 Heavy
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-4 Heavy supports multimodal inputs, whereas GLM-5 does not.

Grok-4 Heavy can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Grok-4 Heavy

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Grok-4 Heavy 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-4 Heavy

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Grok-4 Heavy's release date is not specified.

We can confirm GLM-5's release timeline, but cannot make a direct age comparison without Grok-4 Heavy's release date.

GLM-5

Feb 11, 2026

3 months ago

Grok-4 Heavy

—

Knowledge Cutoff

When training data ends

Grok-4 Heavy has a documented knowledge cutoff of 2024-12-31, while GLM-5's cutoff date is not specified.

We can confirm Grok-4 Heavy's training data extends to 2024-12-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Grok-4 Heavy

Dec 2024

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
xAI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
xAI
Grok-4 Heavy

FAQ

Common questions about GLM-5 vs Grok-4 Heavy.

Which is better, GLM-5 or Grok-4 Heavy?

GLM-5 (Zhipu AI) and Grok-4 Heavy (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-4 Heavy 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-4 Heavy scores AIME 2025: 100.0%, HMMT25: 96.7%, GPQA: 88.4%, LiveCodeBench: 79.4%, USAMO25: 61.9%.

What are the context window sizes for GLM-5 and Grok-4 Heavy?

GLM-5 supports 200K tokens and Grok-4 Heavy 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-4 Heavy?

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-4 Heavy?

GLM-5 is developed by Zhipu AI and Grok-4 Heavy is developed by xAI.

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