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Gemini 3.8 Flash Cyber vs GLM-5.3-Flash

Gemini 3.8 Flash Cyber and GLM-5.3-Flash are closely matched at 42.7 and 51.0 on the LLM Stats Score.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 42.7 and 51.0.

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

Choose Gemini 3.8 Flash Cyber

  • you want the most recent training data — it shipped Sep 2026

Choose GLM-5.3-Flash

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GLM-5.3-Flash
Zhipu AI
Core performance indexes
LLM Stats Score
42.7
#44
51.0
#14
Coding
36.1
#25
35.8
#27
Agents
31.7
#25
37.7
#11
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.50 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 15 for GLM-5.3-Flash

No common benchmarks found

Gemini 3.8 Flash Cyber and GLM-5.3-Flashdon'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-5.3-Flash specifies input context (1,048,576 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-5.3-Flash supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while GLM-5.3-Flash uses MIT.

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

Gemini 3.8 Flash Cyber

Proprietary

Closed source

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GLM-5.3-Flash was released on 2026-08-26.

Gemini 3.8 Flash Cyber is 0 month newer than GLM-5.3-Flash.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1w newer
GLM-5.3-Flash

Aug 26, 2026

1 weeks 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GLM-5.3-Flash.

Which is better, Gemini 3.8 Flash Cyber or GLM-5.3-Flash?

Gemini 3.8 Flash Cyber and GLM-5.3-Flash are closely matched on the LLM Stats Score at 42.7 and 51.0. Gemini 3.8 Flash Cyber is made by Google and GLM-5.3-Flash 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 3.8 Flash Cyber compare to GLM-5.3-Flash in benchmarks?

Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GLM-5.3-Flash?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GLM-5.3-Flash 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 3.8 Flash Cyber and GLM-5.3-Flash?

Key differences include LLM Stats Score (42.7 vs 51.0), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GLM-5.3-Flash?

Gemini 3.8 Flash Cyber is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

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