Gemini 2.5 Pro

google/gemini-2.5-pro-preview

Run Gemini 2.5 Pro in a hosted Python Task with file inputs.

Google's state-of-the-art thinking model via OpenRouter. Capable of reasoning over complex problems in code, math, and STEM with long context support. Scheduled for retirement June 17, 2026.

Deprecated model

This model is deprecated and not recommended for new projects. It retires on June 17, 2026.

What Gemini 2.5 Pro supports in qbash

Image inputReads WEBP, PNG and JPEG images.
Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.
Prompt cachingRepeated input is billed at the cached rate.

What is qbash?

qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like Gemini 2.5 Pro only at the ones that need judgment, with integrations, memory and files available in the same script.

A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.

How Tasks work

Specifications

Context window: 1.05Mtokens
Max output: 65,535tokens
Temperature: 0 to 2default 1

Use Gemini 2.5 Pro in a Python Task

qbash.ai.raw calls Gemini 2.5 Pro from a Task and returns its reply as a string.

main.py
notes = qbash.inputs.get("notes")

summary = qbash.ai.raw(
    f"Summarize these meeting notes in five bullets:\n\n{notes}",
    model="google/gemini-2.5-pro-preview",
    system="You are a concise analyst.",
)

qbash.output({"summary": summary})

Model calls in Tasks

Gemini 2.5 Pro pricing

Input	$1.25 per 1M tokens
Output	$10.00 per 1M tokens
Cached input	$0.125 per 1M tokens
Input, above 200K input tokens	$2.50 per 1M tokens
Output, above 200K input tokens	$15.00 per 1M tokens

Standard rates in USD.

Supported file formats

Images

WEBP up to 5.1 MB
PNG up to 5.1 MB
JPEG up to 5.1 MB

Documents

PDF
TEXT
DOC
XLS
RTF
DOCX
XLSX
PPTX
PPT
ODT
ODP
ODS