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Gemini 2.5 Pro vs MiniMax M2.5

google/gemini-2.5-pro · minimax/minimax-m2.5

As of November 4, 2026, MiniMax M2.5 is the cheaper API on UberLLM: $0.0162 per million input tokens and $0.0570 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 98% 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 MiniMax M2.5 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 198,000 tokens), which can matter for long-document work.

Gemini 2.5 Pro vs MiniMax M2.5, side by side

SpecGemini 2.5 ProMiniMax M2.5
Price · input / 1M$0.3000$0.0162
Price · output / 1M$2.40$0.0570
Context length1,048,576198,000
Max output tokens65,53632,768
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYesYes
% off list76% off94% off
First token, median (7 days)20.4 s (123 requests)—

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 2.5 Pro vs MiniMax M2.5 — FAQ

Is Gemini 2.5 Pro or MiniMax M2.5 cheaper?

MiniMax M2.5 is cheaper on a blended token mix, by about 98%. 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 MiniMax M2.5?

Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. MiniMax M2.5: $0.0162 in / $0.0570 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Pro and MiniMax M2.5 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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