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

Gemini 2.5 Flash vs Mistral Large

google/gemini-2.5-flash · mistralai/mistral-large

As of October 31, 2026, Gemini 2.5 Flash is the cheaper API on UberLLM: $0.0039 per million input tokens and $0.0325 per million output, versus $0.1000 / $0.3000 for Mistral Large, about 90% 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 Gemini 2.5 Flash to cut cost; choose Mistral Large when its capabilities fit your task better.

Gemini 2.5 Flash vs Mistral Large, side by side

SpecGemini 2.5 FlashMistral Large
Price · input / 1M$0.0039$0.1000
Price · output / 1M$0.0325$0.3000
Context length1,048,576128,000
Max output tokens65,5354,096
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
% off list99% off95% 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 Mistral Large — FAQ

Is Gemini 2.5 Flash or Mistral Large cheaper?

Gemini 2.5 Flash is cheaper on a blended token mix, by about 90%. 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 Mistral Large?

Gemini 2.5 Flash: $0.0039 in / $0.0325 out per 1M tokens. Mistral Large: $0.1000 in / $0.3000 out per 1M tokens. That's roughly a 90% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Flash and Mistral Large 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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