GLM-5.3 vs GPT-5 nano
GLM-5.3 significantly outperforms across most benchmarks. GPT-5 nano is 15.6x cheaper per token.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while GPT-5 nano is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.
On price, GPT-5 nano is roughly 15.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose GPT-5 nano
- cost matters — it's about 15.6x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while GPT-5 nano is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 28.0x more expensive than GPT-5 nano ($0.05/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 11.0x more expensive than GPT-5 nano ($0.40/1M tokens).
In conclusion, GLM-5.3 is more expensive than GPT-5 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,000,000 input tokens compared to GPT-5 nano's 400,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5 nano supports multimodal inputs, whereas GLM-5.3 does not.
GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
GPT-5 nano
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while GPT-5 nano was released on 2025-08-07.
GLM-5.3 is 12 months newer than GPT-5 nano.
Aug 14, 2026
1 weeks ago
1.0yr newerAug 7, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while GLM-5.3's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without GLM-5.3's cutoff date.
—
May 2024
Provider Availability
GLM-5.3 is available from ZAI. GPT-5 nano is available from OpenAI.
GLM-5.3
GPT-5 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and GPT-5 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs GPT-5 nano.