GLM-4.5 vs o3
GLM-4.5 and o3 are closely matched at 27.7 and 31.0 on the LLM Stats Score. GLM-4.5 is 5.0x cheaper per token.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-4.5 and o3 are closely matched on the overall LLM Stats Score at 27.7 and 31.0.
In the 5 individual benchmarks reported for both models, o3 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-4.5 is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3 also accepts a larger context window (200,000 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-4.5
- cost matters — it's about 5.0x cheaper per token
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Choose o3
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you process long inputs — it offers a 200,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for GLM-4.5 · 22 for o3
GLM-4.5 outperforms in 0 benchmarks, while o3 is better at 5 benchmarks (AIME 2024, BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified).
o3 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-4.5 ($0.40/1M tokens) is 5.0x cheaper than o3 ($2.00/1M tokens).
For output processing, GLM-4.5 ($1.60/1M tokens) is 5.0x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 is more expensive than GLM-4.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o3 accepts 200,000 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while o3 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
o3 supports multimodal inputs, whereas GLM-4.5 does not.
o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.5
o3
License
Usage and distribution terms
GLM-4.5 is licensed under MIT, while o3 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-4.5 was released on 2025-07-28, while o3 was released on 2025-04-16.
GLM-4.5 is 3 months newer than o3.
Jul 28, 2025
1.2 years ago
3mo newerApr 16, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while GLM-4.5's cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without GLM-4.5's cutoff date.
—
May 2024
Provider Availability
GLM-4.5 is available from DeepInfra, Fireworks, Novita. o3 is available from OpenAI.
GLM-4.5
o3
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.5 and o3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.5 vs o3.