Ministral 3B vs Venice Uncensored 1.2
mistralai/ministral-3-3b-instruct · venice/uncensored-1.2
As of October 25, 2026, Ministral 3B is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0020 per million output, versus $0.1580 / $0.7110 for Venice Uncensored 1.2 — about 100% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Ministral 3B to cut cost; choose Venice Uncensored 1.2 when its capabilities fit your task better.
Ministral 3B vs Venice Uncensored 1.2, side by side
| Spec | Ministral 3B | Venice Uncensored 1.2 |
|---|---|---|
| Price · input / 1M | $0.0020 | $0.1580 |
| Price · output / 1M | $0.0020 | $0.7110 |
| Context length | 128,000 | 128,000 |
| 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 |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 98% off | 21% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 25, 2026.
Ministral 3B vs Venice Uncensored 1.2 — FAQ
Is Ministral 3B or Venice Uncensored 1.2 cheaper?
Ministral 3B is cheaper on a blended token mix, by about 100%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.
What's the price difference between Ministral 3B and Venice Uncensored 1.2?
Ministral 3B: $0.0020 in / $0.0020 out per 1M tokens. Venice Uncensored 1.2: $0.1580 in / $0.7110 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Ministral 3B and Venice Uncensored 1.2 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.