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

Gemini 2.5 Flash vs Gemini 2.5 Pro

google/gemini-2.5-flash · google/gemini-2.5-pro

As of November 2, 2026, Gemini 2.5 Flash is the cheaper API on UberLLM: $0.0030 per million input tokens and $0.0250 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 99% 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 2.5 Flash to cut cost; choose Gemini 2.5 Pro when its capabilities fit your task better.

Gemini 2.5 Flash vs Gemini 2.5 Pro, side by side

SpecGemini 2.5 FlashGemini 2.5 Pro
Price · input / 1M$0.0030$0.3000
Price · output / 1M$0.0250$2.40
Context length1,048,5761,048,576
Max output tokens65,53565,536
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Reasoning—Yes
% off list99% off76% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 2.5 Flash vs Gemini 2.5 Pro — FAQ

Is Gemini 2.5 Flash or Gemini 2.5 Pro cheaper?

Gemini 2.5 Flash is cheaper on a blended token mix, by about 99%. 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 2.5 Flash and Gemini 2.5 Pro?

Gemini 2.5 Flash: $0.0030 in / $0.0250 out per 1M tokens. Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Flash and Gemini 2.5 Pro 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.

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