Ministral 14B 3.0 vs GPT-OSS 120B
mistralai/ministral-3-14b-instruct · openai/gpt-oss-120b
As of November 5, 2026, GPT-OSS 120B is the cheaper API on UberLLM: $0.0001 per million input tokens and $0.0003 per million output, versus $0.0020 / $0.0020 for Ministral 14B 3.0, about 88% 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 GPT-OSS 120B to cut cost; choose Ministral 14B 3.0 when its capabilities fit your task better.
Ministral 14B 3.0 vs GPT-OSS 120B, side by side
| Spec | Ministral 14B 3.0 | GPT-OSS 120B |
|---|---|---|
| Price · input / 1M | $0.0020 | $0.0001 |
| Price · output / 1M | $0.0020 | $0.0003 |
| Context length | 128,000 | 128,000 |
| Max output tokens | 8,000 | 16,384 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | 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 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 GPT-OSS 120B — FAQ
Is Ministral 14B 3.0 or GPT-OSS 120B cheaper?
GPT-OSS 120B is cheaper on a blended token mix, by about 88%. 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 GPT-OSS 120B?
Ministral 14B 3.0: $0.0020 in / $0.0020 out per 1M tokens. GPT-OSS 120B: $0.0001 in / $0.0003 out per 1M tokens. That's roughly a 88% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Ministral 14B 3.0 and GPT-OSS 120B 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.