Gemini 4 Argon vs GLM-4.7
Gemini 4 Argon leads the LLM Stats Score 55.1 to 34.2.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 34.2, ranking #4 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose GLM-4.7
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 13 for GLM-4.7
Gemini 4 Argon and GLM-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
Context Window
Maximum input and output token capacity
Only GLM-4.7 specifies input context (202,752 tokens). Only GLM-4.7 specifies output context (202,752 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and GLM-4.7 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
GLM-4.7
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while GLM-4.7 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while GLM-4.7 was released on 2025-12-22.
Gemini 4 Argon is 9 months newer than GLM-4.7.
Sep 30, 2026
1 weeks ago
9mo newerDec 22, 2025
9 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and GLM-4.7 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs GLM-4.7.