GLM-5.3 vs GPT-6 Cyber
GLM-5.3 and GPT-6 Cyber are closely matched at 49.9 and 40.8 on the LLM Stats Score. GLM-5.3 is 21.1x cheaper per token.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-5.3 and GPT-6 Cyber are closely matched on the overall LLM Stats Score at 49.9 and 40.8.
In the 1 individual benchmarks reported for both models, GPT-6 Cyber wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3 is roughly 21.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Cyber also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3
- cost matters — it's about 21.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6 Cyber
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Individual benchmarks
17 reported for GLM-5.3 · 1 for GPT-6 Cyber
GLM-5.3 outperforms in 0 benchmarks, while GPT-6 Cyber is better at 1 benchmark (ExploitGym).
GPT-6 Cyber significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.20/1M tokens) is 16.7x cheaper than GPT-6 Cyber ($20.00/1M tokens).
For output processing, GLM-5.3 ($4.00/1M tokens) is 25.0x cheaper than GPT-6 Cyber ($100.00/1M tokens).
In conclusion, GPT-6 Cyber is more expensive than GLM-5.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Cyber accepts 1,050,000 input tokens compared to GLM-5.3's 1,048,576 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while GPT-6 Cyber is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Cyber supports multimodal inputs, whereas GLM-5.3 does not.
GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
GPT-6 Cyber
License
Usage and distribution terms
GLM-5.3 is licensed under GLM-5.3 License, while GPT-6 Cyber uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
GLM-5.3 License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while GPT-6 Cyber was released on 2026-11-05.
GPT-6 Cyber is 3 months newer than GLM-5.3.
Aug 14, 2026
3 months ago
Nov 5, 2026
1 weeks ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI. GPT-6 Cyber is available from OpenAI.
GLM-5.3
GPT-6 Cyber
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and GPT-6 Cyber side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs GPT-6 Cyber.