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Google: Gemini 2.5 Pro (batch)

Google's Gemini 2.5 Pro (batch) is a versatile AI model capable of processing text, images, files, audio, and video inputs, with a context length of up to 1MB. It supports reasoning and tools integration, making it suitable for complex tasks that require multiple modalities or external data access. This model should be considered by those needing a robust solution across various input types and benchmark scores, particularly in environments where performance is paramount. With a blended benchmark score of 94.2 across one independent test and pricing at $0.625 per million input tokens and $5.0 per million output tokens, it offers strong value for applications requiring high accuracy and broad functionality.

Quality Score
100/100
price + capability + benchmarks
Input Price
$0.62
per 1M tokens
Output Price
$5.00
per 1M tokens
Context Window
1,048,576
tokens

Benchmark results

Independent, published benchmarks. Blended score 94.2 across 1 benchmark, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
Aider Polyglot code editing across languages 83.1
Model ID
google/gemini-2.5-pro:batch
Vendor
google
Released
June 2025
Tokenizer
Gemini
Input Modalities
text, image, file, audio, video
Output Modalities
text
Max Output
65,536 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
✓ accepts audio
Moderated
no

What it costs in practice

Computed from the current $0.62/M input and $5.00/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.03
Classify 1,000 customer emails 500k in / 50k out $0.56
A month of a busy support chatbot 5M in / 2M out $13.12

Category rankings

Where Google: Gemini 2.5 Pro (batch) places across the 2 categories it ranks in. How we rank →

#CategoryScore
#18 Audio SummarizationVoice · of 25 ranked 147
#19 TranscriptionVoice · of 25 ranked 123

Similar models

Quick answers

How much does Google: Gemini 2.5 Pro (batch) cost?
$0.62 per million input tokens and $5.00 per million output tokens.
What is Google: Gemini 2.5 Pro (batch)'s context window?
1,048,576 tokens, roughly 1,572 pages of text in a single request.
Does Google: Gemini 2.5 Pro (batch) support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can Google: Gemini 2.5 Pro (batch) process images?
Yes, it accepts image input.