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Gemini 3.8 Flash Cyber vs GLM-5.2

Gemini 3.8 Flash Cyber and GLM-5.2 are closely matched at 42.3 and 45.6 on the LLM Stats Score.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and GLM-5.2 are closely matched on the overall LLM Stats Score at 42.3 and 45.6.

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-5.2

  • 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-5.2
Zhipu AI
Core performance indexes
LLM Stats Score
42.3
#46
45.6
#27
Coding
35.7
#25
35.5
#26
Agents
31.5
#28
30.1
#33
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.75 / M
Output price
— / M
$2.40 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 19 for GLM-5.2

No common benchmarks found

Gemini 3.8 Flash Cyber and GLM-5.2don'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-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (1,048,576 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output1,048,576 tokens
Wed Sep 09 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while GLM-5.2 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-5.2

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GLM-5.2 was released on 2026-06-16.

Gemini 3.8 Flash Cyber is 3 months newer than GLM-5.2.

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

2mo newer
GLM-5.2

Jun 16, 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

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-5.2 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GLM-5.2
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GLM-5.2.

Which is better, Gemini 3.8 Flash Cyber or GLM-5.2?

Gemini 3.8 Flash Cyber and GLM-5.2 are closely matched on the LLM Stats Score at 42.3 and 45.6. Gemini 3.8 Flash Cyber is made by Google and GLM-5.2 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-5.2 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-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GLM-5.2?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GLM-5.2 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-5.2?

Key differences include LLM Stats Score (42.3 vs 45.6), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GLM-5.2?

Gemini 3.8 Flash Cyber is developed by Google and GLM-5.2 is developed by Zhipu AI.

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