inclusionAI: Ling 3.1 Flash vs GLM-5.2
inclusionai/ling-3.1-flash · z-ai/glm-5.2
As of November 4, 2026, GLM-5.2 is the cheaper API on UberLLM: $0.0003 per million input tokens and $0.0202 per million output, versus $0.0225 / $0.0675 for inclusionAI: Ling 3.1 Flash, about 73% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GLM-5.2 to cut cost; choose inclusionAI: Ling 3.1 Flash when its capabilities fit your task better.
inclusionAI: Ling 3.1 Flash vs GLM-5.2, side by side
| Spec | inclusionAI: Ling 3.1 Flash | GLM-5.2 |
|---|---|---|
| Price · input / 1M | $0.0225 | $0.0003 |
| Price · output / 1M | $0.0675 | $0.0202 |
| Context length | 262,144 | 1,048,576 |
| Max output tokens | 235,929 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 70% off | 99.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
inclusionAI: Ling 3.1 Flash vs GLM-5.2 — FAQ
Is inclusionAI: Ling 3.1 Flash or GLM-5.2 cheaper?
GLM-5.2 is cheaper on a blended token mix, by about 73%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between inclusionAI: Ling 3.1 Flash and GLM-5.2?
inclusionAI: Ling 3.1 Flash: $0.0225 in / $0.0675 out per 1M tokens. GLM-5.2: $0.0003 in / $0.0202 out per 1M tokens. That's roughly a 73% blended difference. Prices are live; UberLLM adds no fee.
Can I use both inclusionAI: Ling 3.1 Flash and GLM-5.2 with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.