GLM-4.7 vs GPT-5 High
GLM-4.7 and GPT-5 High are closely matched at 34.2 and 34.0 on the LLM Stats Score. GLM-4.7 is 4.7x cheaper per token.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-4.7 and GPT-5 High are closely matched on the overall LLM Stats Score at 34.2 and 34.0.
The models split the 2 individual benchmarks reported for both models evenly.
On price, GLM-4.7 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 High also accepts a larger context window (400,000 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-4.7
- cost matters — it's about 4.7x cheaper per token
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
Choose GPT-5 High
- you process long inputs — it offers a 400,000 token context window
At a glance
The differences that matter most.
Individual benchmarks
13 reported for GLM-4.7 · 2 for GPT-5 High
GLM-4.7 outperforms in 1 benchmarks (AIME 2025), while GPT-5 High is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.7 ($0.40/1M tokens) is 3.1x cheaper than GPT-5 High ($1.25/1M tokens).
For output processing, GLM-4.7 ($1.75/1M tokens) is 5.7x cheaper than GPT-5 High ($10.00/1M tokens).
In conclusion, GPT-5 High is more expensive than GLM-4.7.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 High accepts 400,000 input tokens compared to GLM-4.7's 202,752 tokens. GLM-4.7 can generate longer responses up to 202,752 tokens, while GPT-5 High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-4.7 and GPT-5 High support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-4.7
GPT-5 High
License
Usage and distribution terms
GLM-4.7 is licensed under MIT, while GPT-5 High uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-4.7 was released on 2025-12-22, while GPT-5 High was released on 2025-08-07.
GLM-4.7 is 5 months newer than GPT-5 High.
Dec 22, 2025
9 months ago
4mo newerAug 7, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
GPT-5 High has a documented knowledge cutoff of 2024-09-30, while GLM-4.7's cutoff date is not specified.
We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without GLM-4.7's cutoff date.
—
Sep 2024
Provider Availability
GLM-4.7 is available from DeepInfra, Fireworks, Novita. GPT-5 High is available from OpenAI.
GLM-4.7
GPT-5 High
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.7 and GPT-5 High side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.7 vs GPT-5 High.