Ministral 14B 3.0 vs GLM 5V Turbo
mistralai/ministral-3-14b-instruct · z-ai/glm-5v-turbo
As of November 5, 2026, Ministral 14B 3.0 is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0020 per million output, versus $0.6816 / $2.27 for GLM 5V Turbo, about 100% 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 Ministral 14B 3.0 to cut cost; choose GLM 5V Turbo when context size wins. GLM 5V Turbo carries the larger context window (200,000 vs 128,000 tokens), which can matter for long-document work.
Ministral 14B 3.0 vs GLM 5V Turbo, side by side
| Spec | Ministral 14B 3.0 | GLM 5V Turbo |
|---|---|---|
| Price · input / 1M | $0.0020 | $0.6816 |
| Price · output / 1M | $0.0020 | $2.27 |
| Context length | 128,000 | 200,000 |
| Max output tokens | 8,000 | 32,768 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 99% off | 43.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 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 5V Turbo — FAQ
Is Ministral 14B 3.0 or GLM 5V Turbo cheaper?
Ministral 14B 3.0 is cheaper on a blended token mix, by about 100%. 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 5V Turbo?
Ministral 14B 3.0: $0.0020 in / $0.0020 out per 1M tokens. GLM 5V Turbo: $0.6816 in / $2.27 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Ministral 14B 3.0 and GLM 5V Turbo 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.