token.app › Compare › gpt-oss-20b vs GLM 5.2
gpt-oss-20b vs GLM 5.2
gpt-oss-20b is 7.0× 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
| gpt-oss-20b | GLM 5.2 | |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Input $/1M | $0.030 | $0.252 |
| Output $/1M | $0.130 | $0.792 |
| Blended $/1M | $0.055 | $0.387 |
| Context window | 131K | 1.0M |
| Max output | 131K | 128K |
| Released | Aug 2025 | Jun 2026 |
| Licence | Open weights | Open weights |
Choose gpt-oss-20b if…
- Costs less per token — $0.055 vs $0.387 blended
Choose GLM 5.2 if…
- Larger context window (1.0M)
- Newer model (released Jun 2026)
FAQ
Which is better, gpt-oss-20b or GLM 5.2?
We do not hold independently-run benchmark scores covering both gpt-oss-20b and GLM 5.2, so we make no quality claim. Their pricing and specifications are compared on this page.
Is gpt-oss-20b cheaper than GLM 5.2?
gpt-oss-20b is cheaper: $0.055 versus $0.387 per million tokens blended at 3:1 input:output. Input alone: $0.030 vs $0.252. Output alone: $0.130 vs $0.792.
What context windows do gpt-oss-20b and GLM 5.2 have?
gpt-oss-20b: 131,072 tokens. GLM 5.2: 1,048,576 tokens.
Who makes gpt-oss-20b and GLM 5.2?
gpt-oss-20b is made by OpenAI. GLM 5.2 is made by Zhipu AI.