token.app › Compare › o1-pro (batch) vs GLM 5.2
o1-pro (batch) vs GLM 5.2
GLM 5.2 is 339× cheaper per token on a blended 3:1 basis. GLM 5.2 accepts the larger context window (1.0M).
Head to head
Blended price uses a 3:1 input:output mix
| o1-pro (batch) | GLM 5.2 | |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Input $/1M | $75.00 | $0.252 |
| Output $/1M | $300.00 | $0.792 |
| Blended $/1M | $131.25 | $0.387 |
| Context window | 200K | 1.0M |
| Max output | 100K | 128K |
| Released | Mar 2025 | Jun 2026 |
| Licence | Proprietary | Open weights |
Choose o1-pro (batch) if…
- No clear advantage on the data we hold.
Choose GLM 5.2 if…
- Costs less per token — $0.387 vs $131.25 blended
- Larger context window (1.0M)
- Open weights — self-hostable
- Newer model (released Jun 2026)
FAQ
Which is better, o1-pro (batch) or GLM 5.2?
We do not hold independently-run benchmark scores covering both o1-pro (batch) and GLM 5.2, so we make no quality claim. Their pricing and specifications are compared on this page.
Is o1-pro (batch) cheaper than GLM 5.2?
GLM 5.2 is cheaper: $0.387 versus $131.25 per million tokens blended at 3:1 input:output. Input alone: $75.00 vs $0.252. Output alone: $300.00 vs $0.792.
What context windows do o1-pro (batch) and GLM 5.2 have?
o1-pro (batch): 200,000 tokens. GLM 5.2: 1,048,576 tokens.
Who makes o1-pro (batch) and GLM 5.2?
o1-pro (batch) is made by OpenAI. GLM 5.2 is made by Zhipu AI.