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Gemini 2.5 Pro vs Gemma 4 31B IT

google/gemini-2.5-pro · google/gemma-4-31b-it

As of November 2, 2026, Gemma 4 31B IT is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0036 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 100% 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 Gemma 4 31B IT to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 262,144 tokens), which can matter for long-document work.

Gemini 2.5 Pro vs Gemma 4 31B IT, side by side

SpecGemini 2.5 ProGemma 4 31B IT
Price · input / 1M$0.3000$0.0012
Price · output / 1M$2.40$0.0036
Context length1,048,576262,144
Max output tokens65,536131,072
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYes—
% off list76% off99% 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 Pro vs Gemma 4 31B IT — FAQ

Is Gemini 2.5 Pro or Gemma 4 31B IT cheaper?

Gemma 4 31B IT is cheaper on a blended token mix, by about 100%. 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 Pro and Gemma 4 31B IT?

Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. Gemma 4 31B IT: $0.0012 in / $0.0036 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Pro and Gemma 4 31B IT 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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