The AI arena is free today

Open Superagent

Gemini 3.8 Flash Cyber vs GLM-5.3

Gemini 3.8 Flash Cyber and GLM-5.3 are closely matched at 42.7 and 54.0 on the LLM Stats Score.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and GLM-5.3 are closely matched on the overall LLM Stats Score at 42.7 and 54.0.

In the 1 individual benchmarks reported for both models, Gemini 3.8 Flash Cyber wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 3.8 Flash Cyber

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose GLM-5.3

  • you want predictable pricing at $1.40/M input and $4.40/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GLM-5.3
Zhipu AI
Core performance indexes
LLM Stats Score
42.7
#44
54.0
#7
Coding
36.1
#25
44.3
#5
Agents
31.7
#25
40.2
#5
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$1.40 / M
Output price
— / M
$4.40 / M
Context window
—
1,000,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 17 for GLM-5.3

1 shared

Gemini 3.8 Flash Cyber outperforms in 1 benchmarks (CyberGym), while GLM-5.3 is better at 0 benchmarks.

Gemini 3.8 Flash Cyber significantly outperforms across most benchmarks.

Wed Sep 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (131,072 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output131,072 tokens
Wed Sep 02 2026 • llm-stats.com

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GLM-5.3 was released on 2026-08-14.

Gemini 3.8 Flash Cyber is 1 month newer than GLM-5.3.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

2w newer
GLM-5.3

Aug 14, 2026

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

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

FAQ

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

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

Gemini 3.8 Flash Cyber and GLM-5.3 are closely matched on the LLM Stats Score at 42.7 and 54.0. Gemini 3.8 Flash Cyber 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 3.8 Flash Cyber compare to GLM-5.3 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 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

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

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

Key differences include LLM Stats Score (42.7 vs 54.0), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GLM-5.3?

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

Related comparisons