Model Comparison
GPT-5.4 vs GLM-4.7-FlashWhich is better in 2026?
GPT-5.4 significantly outperforms across most benchmarks. GLM-4.7-Flash is 36.9x cheaper per token.
Verdict: GPT-5.4 vs GLM-4.7-Flash — which is better?
GPT-5.4 (by OpenAI) and GLM-4.7-Flash (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while GLM-4.7-Flash is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.
On price, GLM-4.7-Flash is roughly 36.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.4 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
Choose GLM-4.7-Flash if…
- cost matters — it's about 36.9x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while GLM-4.7-Flash is better at 0 benchmarks.
GPT-5.4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.4 ($2.50/1M tokens) is 35.7x more expensive than GLM-4.7-Flash ($0.07/1M tokens).
For output processing, GPT-5.4 ($15.00/1M tokens) is 37.5x more expensive than GLM-4.7-Flash ($0.40/1M tokens).
In conclusion, GPT-5.4 is more expensive than GLM-4.7-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.4 accepts 1,000,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. GPT-5.4 can generate longer responses up to 128,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.4 supports multimodal inputs, whereas GLM-4.7-Flash does not.
GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.4
GLM-4.7-Flash
License
Usage and distribution terms
GPT-5.4 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5.4 was released on 2026-03-05, while GLM-4.7-Flash was released on 2026-01-19.
GPT-5.4 is 2 months newer than GLM-4.7-Flash.
Mar 5, 2026
3 months ago
1mo newerJan 19, 2026
5 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.4 is available from OpenAI. GLM-4.7-Flash is available from ZAI.
GPT-5.4
GLM-4.7-Flash
Outputs Comparison
Key Takeaways
GPT-5.4
View detailsOpenAI
GLM-4.7-Flash
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.4 and GLM-4.7-Flash side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.4 vs GLM-4.7-Flash.