The AI arena is free today

Open Superagent

Gemini 3.8 Flash Cyber vs GLM-4.7-Flash

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 23.8.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.4 to 23.8, 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-Flash

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

At a glance

The differences that matter most.

Core performance indexes
42.4
#46
23.8
#163
35.6
#25
4.6
#199
31.2
#27
4.9
#141
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.07 / M
Output price
— / M
$0.40 / M
Context window
128,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 6 for GLM-4.7-Flash

No common benchmarks found

Gemini 3.8 Flash Cyber and GLM-4.7-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-4.7-Flash specifies input context (128,000 tokens). Only GLM-4.7-Flash specifies output context (16,384 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while GLM-4.7-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-4.7-Flash

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-Flash was released on 2026-01-19.

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

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 days ago

7mo newer
GLM-4.7-Flash

Jan 19, 2026

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

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

FAQ

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

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

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 23.8. Gemini 3.8 Flash Cyber is made by Google and GLM-4.7-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-4.7-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-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%.

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

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GLM-4.7-Flash supports 128K 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-Flash?

Key differences include LLM Stats Score (42.4 vs 23.8), 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-Flash?

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