Gemma 4 31B vs Ministral 14B 3.0
google/gemma-4-31b · mistralai/ministral-3-14b-instruct
As of November 4, 2026, Ministral 14B 3.0 is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0020 per million output, versus $0.0009 / $0.0027 for Gemma 4 31B, about 12% 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 Gemma 4 31B when context size wins. Gemma 4 31B carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.
Gemma 4 31B vs Ministral 14B 3.0, side by side
| Spec | Gemma 4 31B | Ministral 14B 3.0 |
|---|---|---|
| Price · input / 1M | $0.0009 | $0.0020 |
| Price · output / 1M | $0.0027 | $0.0020 |
| Context length | 256,000 | 128,000 |
| Max output tokens | 131,072 | 8,000 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| % off list | 99.2% off | 99% 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?
Gemma 4 31B vs Ministral 14B 3.0 — FAQ
Is Gemma 4 31B or Ministral 14B 3.0 cheaper?
Ministral 14B 3.0 is cheaper on a blended token mix, by about 12%. 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 Gemma 4 31B and Ministral 14B 3.0?
Gemma 4 31B: $0.0009 in / $0.0027 out per 1M tokens. Ministral 14B 3.0: $0.0020 in / $0.0020 out per 1M tokens. That's roughly a 12% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 4 31B and Ministral 14B 3.0 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.