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Gemini 2.5 Flash vs Gemma 4 31B

google/gemini-2.5-flash · google/gemma-4-31b

As of October 31, 2026, Gemma 4 31B is the cheaper API on UberLLM: $0.0010 per million input tokens and $0.0029 per million output, versus $0.0039 / $0.0325 for Gemini 2.5 Flash, about 91% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Gemma 4 31B to cut cost; choose Gemini 2.5 Flash when context size wins. Gemini 2.5 Flash carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.

Gemini 2.5 Flash vs Gemma 4 31B, side by side

SpecGemini 2.5 FlashGemma 4 31B
Price · input / 1M$0.0039$0.0010
Price · output / 1M$0.0325$0.0029
Context length1,048,576256,000
Max output tokens65,535131,072
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
% off list99% off99% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 2.5 Flash vs Gemma 4 31B — FAQ

Is Gemini 2.5 Flash or Gemma 4 31B cheaper?

Gemma 4 31B is cheaper on a blended token mix, by about 91%. 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 Gemma 4 31B?

Gemini 2.5 Flash: $0.0039 in / $0.0325 out per 1M tokens. Gemma 4 31B: $0.0010 in / $0.0029 out per 1M tokens. That's roughly a 91% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Flash and Gemma 4 31B 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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