Gemma 3 4B IT vs GPT-OSS 20B
google/gemma-3-4b-it · openai/gpt-oss-20b
As of October 25, 2026, Gemma 3 4B IT is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0010 per million output, versus $0.0004 / $0.0018 for GPT-OSS 20B — about 34% 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 Gemma 3 4B IT to cut cost; choose GPT-OSS 20B when context size wins — GPT-OSS 20B carries the larger context window (131,072 vs 128,000 tokens), which can matter for long-document work.
Gemma 3 4B IT vs GPT-OSS 20B, side by side
| Spec | Gemma 3 4B IT | GPT-OSS 20B |
|---|---|---|
| Price · input / 1M | $0.0008 | $0.0004 |
| Price · output / 1M | $0.0010 | $0.0018 |
| Context length | 128,000 | 131,072 |
| Max output tokens | 8,000 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 98% off | 98% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 25, 2026.
Gemma 3 4B IT vs GPT-OSS 20B — FAQ
Is Gemma 3 4B IT or GPT-OSS 20B cheaper?
Gemma 3 4B IT is cheaper on a blended token mix, by about 34%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.
What's the price difference between Gemma 3 4B IT and GPT-OSS 20B?
Gemma 3 4B IT: $0.0008 in / $0.0010 out per 1M tokens. GPT-OSS 20B: $0.0004 in / $0.0018 out per 1M tokens. That's roughly a 34% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 3 4B IT and GPT-OSS 20B 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.