Model Comparison
GLM-4.6 vs o1-previewWhich is better in 2026?
GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is 28.8x cheaper per token.
Verdict: GLM-4.6 vs o1-preview — which is better?
GLM-4.6 (by Zhipu AI) and o1-preview (by OpenAI) 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.
GLM-4.6 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o1-preview is better at 0 benchmarks. GLM-4.6 significantly outperforms across most benchmarks.
On price, GLM-4.6 is roughly 28.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-4.6 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-4.6 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 28.8x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Choose o1-preview if…
- you want predictable pricing at $15.00/M input and $60.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.6 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o1-preview is better at 0 benchmarks.
GLM-4.6 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.6 ($0.55/1M tokens) is 27.3x cheaper than o1-preview ($15.00/1M tokens).
For output processing, GLM-4.6 ($2.00/1M tokens) is 30.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than GLM-4.6.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-4.6 accepts 131,072 input tokens compared to o1-preview's 128,000 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while o1-preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GLM-4.6 supports multimodal inputs, whereas o1-preview does not.
GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.6
o1-preview
License
Usage and distribution terms
GLM-4.6 is licensed under MIT, while o1-preview 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-4.6 was released on 2025-09-30, while o1-preview was released on 2024-09-12.
GLM-4.6 is 13 months newer than o1-preview.
Sep 30, 2025
9 months ago
1.0yr newerSep 12, 2024
1.8 years 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
GLM-4.6 is available from Fireworks, DeepInfra. o1-preview is available from OpenAI, Azure.
GLM-4.6
o1-preview
Outputs Comparison
Key Takeaways
GLM-4.6
View detailsZhipu AI
o1-preview
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-4.6 and o1-preview side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GLM-4.6 vs o1-preview.