Gemini 3.5 Flash vs GPT 5.4 Nano
google/gemini-3.5-flash · openai/gpt-5.4-nano
As of November 5, 2026, Gemini 3.5 Flash is the cheaper API on UberLLM: $0.0150 per million input tokens and $0.0900 per million output, versus $0.0387 / $0.2419 for GPT 5.4 Nano, about 63% 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 Gemini 3.5 Flash to cut cost; choose GPT 5.4 Nano when its capabilities fit your task better.
Gemini 3.5 Flash vs GPT 5.4 Nano, side by side
| Spec | Gemini 3.5 Flash | GPT 5.4 Nano |
|---|---|---|
| Price · input / 1M | $0.0150 | $0.0387 |
| Price · output / 1M | $0.0900 | $0.2419 |
| Context length | 1,000,000 | 400,000 |
| Max output tokens | 65,536 | 128,000 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 99% off | 80.7% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemini 3.5 Flash vs GPT 5.4 Nano — FAQ
Is Gemini 3.5 Flash or GPT 5.4 Nano cheaper?
Gemini 3.5 Flash is cheaper on a blended token mix, by about 63%. 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 Gemini 3.5 Flash and GPT 5.4 Nano?
Gemini 3.5 Flash: $0.0150 in / $0.0900 out per 1M tokens. GPT 5.4 Nano: $0.0387 in / $0.2419 out per 1M tokens. That's roughly a 63% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 3.5 Flash and GPT 5.4 Nano 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.