Gemini 4 Argon vs GLM-5V-Turbo
Gemini 4 Argon leads the LLM Stats Score 55.1 to 30.0. GLM-5V-Turbo is 2.1x cheaper per token.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 30.0, ranking #4 overall.
On price, GLM-5V-Turbo is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon also accepts a larger context window (1,048,576 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 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 process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose GLM-5V-Turbo
- cost matters — it's about 2.1x cheaper per token
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 · 19 for GLM-5V-Turbo
Gemini 4 Argon and GLM-5V-Turbodon'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, Gemini 4 Argon ($2.00/1M tokens) is 1.7x more expensive than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.5x more expensive than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than GLM-5V-Turbo.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 4 Argon accepts 1,048,576 input tokens compared to GLM-5V-Turbo's 200,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and GLM-5V-Turbo support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
GLM-5V-Turbo
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while GLM-5V-Turbo was released on 2026-04-02.
Gemini 4 Argon is 6 months newer than GLM-5V-Turbo.
Sep 30, 2026
2 weeks ago
6mo newerApr 2, 2026
6 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
Gemini 4 Argon is available from Google. GLM-5V-Turbo is available from ZAI.
Gemini 4 Argon
GLM-5V-Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs GLM-5V-Turbo.