Ministral 14B 3.0 vs GLM 4.5 Air
mistralai/ministral-3-14b-instruct · z-ai/glm-4.5-air
As of November 4, 2026, GLM 4.5 Air is the cheaper API on UberLLM: $0.0001 per million input tokens and $0.0008 per million output, versus $0.0020 / $0.0020 for Ministral 14B 3.0, about 67% 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 4.5 Air to cut cost; choose Ministral 14B 3.0 when its capabilities fit your task better.
Ministral 14B 3.0 vs GLM 4.5 Air, side by side
| Spec | Ministral 14B 3.0 | GLM 4.5 Air |
|---|---|---|
| Price · input / 1M | $0.0020 | $0.0001 |
| Price · output / 1M | $0.0020 | $0.0008 |
| Context length | 128,000 | 128,000 |
| Max output tokens | 8,000 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | — | Yes |
| % off list | 99% off | 99.9% 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?
Ministral 14B 3.0 vs GLM 4.5 Air — FAQ
Is Ministral 14B 3.0 or GLM 4.5 Air cheaper?
GLM 4.5 Air is cheaper on a blended token mix, by about 67%. 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 Ministral 14B 3.0 and GLM 4.5 Air?
Ministral 14B 3.0: $0.0020 in / $0.0020 out per 1M tokens. GLM 4.5 Air: $0.0001 in / $0.0008 out per 1M tokens. That's roughly a 67% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Ministral 14B 3.0 and GLM 4.5 Air 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.