GPT-OSS 20B vs Venice Uncensored 1.2
openai/gpt-oss-20b · venice/uncensored-1.2
As of October 24, 2026, GPT-OSS 20B is the cheaper API on UberLLM: $0.0002 per million input tokens and $0.0012 per million output, versus $0.1392 / $0.6266 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 UberLLM's 10% fee already included, so the price you see is the price you pay. Choose GPT-OSS 20B to cut cost; choose Venice Uncensored 1.2 when its capabilities fit your task better.
GPT-OSS 20B vs Venice Uncensored 1.2, side by side
| Spec | GPT-OSS 20B | Venice Uncensored 1.2 |
|---|---|---|
| Price · input / 1M | $0.0002 | $0.1392 |
| Price · output / 1M | $0.0012 | $0.6266 |
| Context length | 131,072 | 128,000 |
| Max output tokens | 32,768 | 32,768 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 99% off | 30% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown includes UberLLM’s 10% fee. Updated October 24, 2026.
GPT-OSS 20B vs Venice Uncensored 1.2 — FAQ
Is GPT-OSS 20B or Venice Uncensored 1.2 cheaper?
GPT-OSS 20B 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 its 10% fee included.
What's the price difference between GPT-OSS 20B and Venice Uncensored 1.2?
GPT-OSS 20B: $0.0002 in / $0.0012 out per 1M tokens. Venice Uncensored 1.2: $0.1392 in / $0.6266 out per 1M tokens. That's roughly a 100% blended difference. Prices are live and include UberLLM's 10% fee.
Can I use both GPT-OSS 20B 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.