GLM-4.6 vs Grok 4.6
Comparing GLM-4.6 and Grok 4.6 across benchmarks, pricing, and capabilities.
Zhipu AI · xAI · Updated for 2026
Which is better?
GLM-4.6 and Grok 4.6 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-4.6 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.6 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-4.6
- cost matters — it's about 3.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Grok 4.6
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.6 and Grok 4.6don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.6 ($0.55/1M tokens) is 3.6x cheaper than Grok 4.6 ($2.00/1M tokens).
For output processing, GLM-4.6 ($2.00/1M tokens) is 3.0x cheaper than Grok 4.6 ($6.00/1M tokens).
In conclusion, Grok 4.6 is more expensive than GLM-4.6.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.6 accepts 500,000 input tokens compared to GLM-4.6's 131,072 tokens. Only GLM-4.6 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Both GLM-4.6 and Grok 4.6 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-4.6
Grok 4.6
License
Usage and distribution terms
GLM-4.6 is licensed under MIT, while Grok 4.6 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-4.6 was released on 2025-09-30, while Grok 4.6 was released on 2026-08-12.
Grok 4.6 is 11 months newer than GLM-4.6.
Sep 30, 2025
10 months ago
Aug 12, 2026
1 weeks ago
10mo newerKnowledge Cutoff
When training data ends
Grok 4.6 has a documented knowledge cutoff of 2026-02-01, while GLM-4.6's cutoff date is not specified.
We can confirm Grok 4.6's training data extends to 2026-02-01, but cannot make a direct comparison without GLM-4.6's cutoff date.
—
Feb 2026
Provider Availability
GLM-4.6 is available from Fireworks, DeepInfra. Grok 4.6 is available from xAI.
GLM-4.6
Grok 4.6
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.6 and Grok 4.6 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.6 vs Grok 4.6.