gemini-2.5-flash-image

Google · Image model

gemini-2.5-flash-image is listed here as a image generation model from Google. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

gemini-gemini-gemini-2-5-flash-image

Input

$0.3000 / 1M tokens

Output

$2.5000 / 1M tokens

Cached input

$0.0300 / 1M tokens

Context window

32.8K

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Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item	Price
Input	$0.3000 / 1M tokens
Output	$2.5000 / 1M tokens
Cached input	$0.0300 / 1M tokens
Reasoning output	$2.5000 / 1M tokens
Audio input	$1.0000 / 1M tokens
Image output	$39000.0000 / 1M image units
Embedding	$0.3000 / 1M tokens

Limits

Context window

32.8K

Max input tokens

32.8K

Max output tokens

32.8K

Max tokens

32.8K

Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	Supported
Function calling	Supported
Parallel function calling	Supported
Tool choice	Supported
Prompt caching	Supported
Reasoning	-
Response schema	Supported
System messages	Supported
Audio input	-
Audio output	-
Web search	Supported
PDF input	Supported
Video input	-

Similar models

Candidates below have the same known input/output modality shape and usable token pricing. Use the filters to change the ranking lens before opening a comparison.

Comparing from

Model	Cost	Input shape	Features	Context	Why it is close
gemini-2.5-flash-image Google	In $0.3000 / 1M tokens Out $2.5000 / 1M tokens	pdfurl Output: image, text	VisionFunction callingParallel function callingTool choice	32.8K	Current model Reference row

Model	Cost	Input shape	Features	Context	Why it is close
gemini-2.5-flash-image vertex_ai-language-models	In $0.3000 / 1M tokens Out $2.5000 / 1M tokens	pdfurl Output: image, text	VisionFunction callingParallel function callingTool choice	32.8K	Exact I/O shape Overall 74%
gemini-2.5-flash-image vertex_ai-language-models	In $0.3000 / 1M tokens Out $2.5000 / 1M tokens	pdfurl Output: image, text	VisionFunction callingParallel function callingTool choice	32.8K	Exact I/O shape Overall 74%

Sources

Source links	Row source LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-07T08:19:07.388Z