NewPoint any agent at UberLLM — one key, every model, list price or less.

Gemini 3.5 Flash vs GPT-OSS 20B

google/gemini-3.5-flash · openai/gpt-oss-20b

As of October 25, 2026, GPT-OSS 20B is the cheaper API on UberLLM: $0.0002 per million input tokens and $0.0012 per million output, versus $0.3860 / $2.32 for Gemini 3.5 Flash — 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 Gemini 3.5 Flash when context size wins — Gemini 3.5 Flash carries the larger context window (1,048,576 vs 131,072 tokens), which can matter for long-document work.

Gemini 3.5 Flash vs GPT-OSS 20B, side by side

SpecGemini 3.5 FlashGPT-OSS 20B
Price · input / 1M$0.3860$0.0002
Price · output / 1M$2.32$0.0012
Context length1,048,576131,072
Max output tokens65,53632,768
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
Cheapest sellerUberLLMUberLLM
% off list74% off99% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown includes UberLLM’s 10% fee. Updated October 25, 2026.

Gemini 3.5 Flash vs GPT-OSS 20B — FAQ

Is Gemini 3.5 Flash or GPT-OSS 20B 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 Gemini 3.5 Flash and GPT-OSS 20B?

Gemini 3.5 Flash: $0.3860 in / $2.32 out per 1M tokens. GPT-OSS 20B: $0.0002 in / $0.0012 out per 1M tokens. That's roughly a 100% blended difference. Prices are live and include UberLLM's 10% fee.

Can I use both Gemini 3.5 Flash 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.

More comparisons