Analysis Summary
Google Gemini 2.5 Pro supports text, images, files, audio, and video, with tool use and function calling over a 1M token context window. Its pricing is $0.625 per million input tokens and $5 per million output tokens, positioning it for substantial document analysis, multimodal research, complex content planning, and codebase-level assistance rather than routine volume generation.
No model-specific benchmark results are supplied for this batch variant, so the available data does not establish its current reasoning, coding, or agentic performance. The capability profile makes it a sensible candidate for a controlled pilot where context and modality are important. Design for Online should verify answer quality, structured output, and tool reliability before assigning it to high-stakes client production.
Assessed August 9, 2026
Editorial notes
Gemini 2.5 Pro offers a 1M token context window, broad multimodal input, tool use, and function calling. This batch variant has no model-specific benchmark results, so its premium capabilities require validation before lead client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.5 Pro offers a 1M token context window, broad multimodal input, tool use, and function calling. This batch variant has no model-specific benchmark results, so its premium capabilities require validation before lead client workflows.
How Google: Gemini 2.5 Pro (batch) compares
Its 1M-token context window is larger than 95% of the models we list. At $0.63 per million input tokens it is cheaper than 34% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.63 | $0.000625 |
| Output | $5.00 | $0.005000 |
What would Google: Gemini 2.5 Pro (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.5 Pro (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Pro (batch)
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy..
Explore Related Models
Frequently asked questions about Google: Gemini 2.5 Pro (batch)
How much does Google: Gemini 2.5 Pro (batch) cost?
Google: Gemini 2.5 Pro (batch) costs $0.63 per million input tokens and $5.00 per million output tokens.
What is the context window of Google: Gemini 2.5 Pro (batch)?
Google: Gemini 2.5 Pro (batch) has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.5 Pro (batch) do?
Google: Gemini 2.5 Pro (batch) supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Pro (batch)?
Google: Gemini 2.5 Pro (batch) is developed by Google and was released on June 17, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm