Model Comparison
GLM-4.7-Flash vs Grok 4 FastWhich is better in 2026?
Grok 4 Fast significantly outperforms across most benchmarks. GLM-4.7-Flash is 1.8x cheaper per token.
Verdict: GLM-4.7-Flash vs Grok 4 Fast — which is better?
GLM-4.7-Flash (by Zhipu AI) and Grok 4 Fast (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.
GLM-4.7-Flash outperforms in 0 benchmarks, while Grok 4 Fast is better at 4 benchmarks (AIME 2025, BrowseComp, GPQA, Humanity's Last Exam). Grok 4 Fast significantly outperforms across most benchmarks.
On price, GLM-4.7-Flash is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4 Fast also accepts a larger context window (2,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-4.7-Flash if…
- cost matters — it's about 1.8x cheaper per token
- you want the most recent training data — it shipped Jan 2026
- you need open weights you can self-host or fine-tune
Choose Grok 4 Fast if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you process long inputs — it offers a 2,000,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.7-Flash outperforms in 0 benchmarks, while Grok 4 Fast is better at 4 benchmarks (AIME 2025, BrowseComp, GPQA, Humanity's Last Exam).
Grok 4 Fast significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 2.9x cheaper than Grok 4 Fast ($0.20/1M tokens).
For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 1.3x cheaper than Grok 4 Fast ($0.50/1M tokens).
In conclusion, Grok 4 Fast is more expensive than GLM-4.7-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4 Fast accepts 2,000,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Grok 4 Fast can generate longer responses up to 30,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Grok 4 Fast supports multimodal inputs, whereas GLM-4.7-Flash does not.
Grok 4 Fast can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.7-Flash
Grok 4 Fast
License
Usage and distribution terms
GLM-4.7-Flash is licensed under MIT, while Grok 4 Fast 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-Flash was released on 2026-01-19, while Grok 4 Fast was released on 2025-08-28.
GLM-4.7-Flash is 5 months newer than Grok 4 Fast.
Jan 19, 2026
6 months ago
4mo newerAug 28, 2025
10 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-4.7-Flash is available from ZAI. Grok 4 Fast is available from xAI.
GLM-4.7-Flash
Grok 4 Fast
Outputs Comparison
Key Takeaways
GLM-4.7-Flash
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-4.7-Flash and Grok 4 Fast side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GLM-4.7-Flash vs Grok 4 Fast.