GLM-4.7 vs Grok 4.7
Grok 4.7 leads the LLM Stats Score 48.5 to 34.3. GLM-4.7 is 4.1x cheaper per token.
Zhipu AI · xAI · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 34.3, ranking #23 overall.
On price, GLM-4.7 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-4.7
- cost matters — it's about 4.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Grok 4.7
- overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
13 reported for GLM-4.7 · 23 for Grok 4.7
GLM-4.7 and Grok 4.7don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.7 ($0.40/1M tokens) is 5.0x cheaper than Grok 4.7 ($2.00/1M tokens).
For output processing, GLM-4.7 ($1.75/1M tokens) is 3.4x cheaper than Grok 4.7 ($6.00/1M tokens).
In conclusion, Grok 4.7 is more expensive than GLM-4.7.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.7 accepts 500,000 input tokens compared to GLM-4.7's 202,752 tokens. Only GLM-4.7 specifies output context (202,752 tokens).
Input capabilities
Documented input modalities across available providers
Both GLM-4.7 and Grok 4.7 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-4.7
Grok 4.7
License
Usage and distribution terms
GLM-4.7 is licensed under MIT, while Grok 4.7 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-4.7 was released on 2025-12-22, while Grok 4.7 was released on 2026-09-21.
Grok 4.7 is 9 months newer than GLM-4.7.
Dec 22, 2025
9 months ago
Sep 21, 2026
1 days ago
9mo newerKnowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while GLM-4.7's cutoff date is not specified.
We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without GLM-4.7's cutoff date.
—
Jun 2026
Provider Availability
GLM-4.7 is available from DeepInfra, Fireworks, Novita. Grok 4.7 is available from xAI.
GLM-4.7
Grok 4.7
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.7 and Grok 4.7 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.7 vs Grok 4.7.