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Gemini 3.8 Flash Cyber vs GLM-4.7

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 34.6.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.4 to 34.6, ranking #46 overall.

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

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.4 and ranks #46 on LLM Stats
  • your work emphasizes coding and agents — 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.

Gemini 3.8 Flash Cyber
Google
GLM-4.7
Zhipu AI
Core performance indexes
LLM Stats Score
42.4
#46
34.6
#85
Coding
35.6
#25
17.8
#109
Agents
31.2
#27
9.7
#115
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.60 / M
Output price
— / M
$2.20 / M
Context window
—
202,800

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 13 for GLM-4.7

No common benchmarks found

Gemini 3.8 Flash Cyber 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 (202,800 tokens). Only GLM-4.7 specifies output context (131,072 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-4.7 supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GLM-4.7 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-4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber 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.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

GLM-4.7

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GLM-4.7 was released on 2025-12-22.

Gemini 3.8 Flash Cyber is 8 months newer than GLM-4.7.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 days ago

8mo newer
GLM-4.7

Dec 22, 2025

8 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

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-4.7 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GLM-4.7
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GLM-4.7.

Which is better, Gemini 3.8 Flash Cyber or GLM-4.7?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 34.6. Gemini 3.8 Flash Cyber is made by Google and GLM-4.7 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-4.7 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-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GLM-4.7?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GLM-4.7 supports 203K 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-4.7?

Key differences include LLM Stats Score (42.4 vs 34.6), 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-4.7?

Gemini 3.8 Flash Cyber is developed by Google and GLM-4.7 is developed by Zhipu AI.

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