token.app › Compare › GPT-3.5 Turbo Instruct vs GLM 5.2
GPT-3.5 Turbo Instruct vs GLM 5.2
GLM 5.2 is 4.2× 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-3.5 Turbo Instruct | GLM 5.2 | |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Input $/1M | $1.50 | $0.252 |
| Output $/1M | $2.00 | $0.792 |
| Blended $/1M | $1.63 | $0.387 |
| Context window | 4K | 1.0M |
| Max output | 4K | 128K |
| Released | Sep 2023 | Jun 2026 |
| Licence | Proprietary | Open weights |
Choose GPT-3.5 Turbo Instruct if…
- No clear advantage on the data we hold.
Choose GLM 5.2 if…
- Costs less per token — $0.387 vs $1.63 blended
- Larger context window (1.0M)
- Open weights — self-hostable
- Newer model (released Jun 2026)
FAQ
Which is better, GPT-3.5 Turbo Instruct or GLM 5.2?
We do not hold independently-run benchmark scores covering both GPT-3.5 Turbo Instruct and GLM 5.2, so we make no quality claim. Their pricing and specifications are compared on this page.
Is GPT-3.5 Turbo Instruct cheaper than GLM 5.2?
GLM 5.2 is cheaper: $0.387 versus $1.63 per million tokens blended at 3:1 input:output. Input alone: $1.50 vs $0.252. Output alone: $2.00 vs $0.792.
What context windows do GPT-3.5 Turbo Instruct and GLM 5.2 have?
GPT-3.5 Turbo Instruct: 4,095 tokens. GLM 5.2: 1,048,576 tokens.
Who makes GPT-3.5 Turbo Instruct and GLM 5.2?
GPT-3.5 Turbo Instruct is made by OpenAI. GLM 5.2 is made by Zhipu AI.
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