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Gemini 4 Argon vs GLM-5.3

Gemini 4 Argon and GLM-5.3 are closely matched at 55.1 and 50.9 on the LLM Stats Score. GLM-5.3 is 2.1x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 4 Argon and GLM-5.3 are closely matched on the overall LLM Stats Score at 55.1 and 50.9.

In the 5 individual benchmarks reported for both models, Gemini 4 Argon wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-5.3 is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 4 Argon

  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose GLM-5.3

  • cost matters — it's about 2.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
55.1
#4
50.9
#16
53.2
#6
50.7
#13
42.5
#7
39.4
#13
41.2
#4
37.0
#18
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$2.00 / M
$1.20 / M
Output price
$10.00 / M
$4.00 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 4 Argon
GLM-5.3
32.3#4
30.9#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 17 for GLM-5.3

5 shared

Gemini 4 Argon outperforms in 5 benchmarks (Agents' Last Exam, AutomationBench, DeepSWE 1.1, PostTrainBench, Terminal-Bench 4.0), while GLM-5.3 is better at 0 benchmarks.

Gemini 4 Argon significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3 costs less

For input processing, Gemini 4 Argon ($2.00/1M tokens) is 1.7x more expensive than GLM-5.3 ($1.20/1M tokens).

For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.5x more expensive than GLM-5.3 ($4.00/1M tokens).

In conclusion, Gemini 4 Argon is more expensive than GLM-5.3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
Zhipu AI
GLM-5.3
Input tokens$1.20
Output tokens$4.00
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas GLM-5.3 does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

GLM-5.3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while GLM-5.3 uses GLM-5.3 License.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 4 Argon

Proprietary

Closed source

GLM-5.3

GLM-5.3 License

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GLM-5.3 was released on 2026-08-14.

Gemini 4 Argon is 2 months newer than GLM-5.3.

Gemini 4 Argon

Sep 30, 2026

3 weeks ago

1mo newer
GLM-5.3

Aug 14, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Gemini 4 Argon is available from Google. GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI.

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

GLM-5.3

deepinfra logo
Deepinfra
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GLM-5.3 side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GLM-5.3.

Which is better, Gemini 4 Argon or GLM-5.3?

Gemini 4 Argon and GLM-5.3 are closely matched on the LLM Stats Score at 55.1 and 50.9. Gemini 4 Argon is made by Google and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to GLM-5.3 in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is Gemini 4 Argon cheaper than GLM-5.3?

GLM-5.3 is 1.7x cheaper for input tokens. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google. GLM-5.3 costs $1.20/M input and $4.00/M output via deepinfra.

What are the context window sizes for Gemini 4 Argon and GLM-5.3?

Gemini 4 Argon supports 1.0M tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and GLM-5.3?

Key differences include LLM Stats Score (55.1 vs 50.9), input pricing ($2.00 vs $1.20/M), multimodal support (yes vs no), licensing (Proprietary vs GLM-5.3 License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GLM-5.3?

Gemini 4 Argon is developed by Google and GLM-5.3 is developed by Zhipu AI.