GLM-5.3-Flash vs o1
Comparing GLM-5.3-Flash and o1 across benchmarks, pricing, and capabilities.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-5.3-Flash and o1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-5.3-Flash is roughly 110.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash also accepts a larger context window (1,048,576 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-Flash
- cost matters — it's about 110.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose o1
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3-Flash and o1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 100.0x cheaper than o1 ($15.00/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 120.0x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3-Flash accepts 1,048,576 input tokens compared to o1's 200,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while o1 is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
GLM-5.3-Flash supports multimodal inputs, whereas o1 does not.
GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3-Flash
o1
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while o1 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-5.3-Flash was released on 2026-08-26, while o1 was released on 2024-12-17.
GLM-5.3-Flash is 21 months newer than o1.
Aug 26, 2026
0 days ago
1.7yr newerDec 17, 2024
1.7 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-5.3-Flash is available from DeepInfra, Novita, ZAI. o1 is available from Azure, OpenAI.
GLM-5.3-Flash
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs o1.