Is Gemini 1.5 Pro available on other providers?

Gemini 1.5 Pro is currently only available through its native API.

What is Gemini 1.5 Pro best used for?

Gemini 1.5 Pro is well-suited for long-context, coding, analysis, document-QA, reasoning. Its 2097K context window makes it ideal for processing large documents and codebases.

GoogleGemini 1.5VisionTool use

Gemini 1.5 Pro pricing

Google's most capable Gemini model with the largest context window available. Below you will find 1 current row with input and output dollars per million. Right now the lowest input is $1.25 and the lowest output is $5.00.

2.1M context·1 provider·verified Mar 13, 2026

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Best input$1.25per 1M tokens · Google

Best output$5.00per 1M tokens · Google

Pricing across providers

Every row is a seller of Gemini 1.5 Pro with token pricing we track. The cheapest input in this snapshot is from Google. The bar chart shows the same input and output dollars per million for a quick scan.

Googlenative

Input / 1M

$1.25

Output / 1M

$5.00

Cached in: $0.313

Provider	Input / 1M	Output / 1M	Cached input	Batch
G Googlenative	$1.25	$5.00	$0.313	—

Input vs output · 1M tokens

Cost calculator

The calculator uses the same dollars per million tokens as the table. Adjust sliders to see how Gemini 1.5 Pro cost scales with traffic.

In: $1.25/M·Out: $5.00/M·Cache: $0.313/M

Requests / day

Avg input tokens

0.125000¢ / req

Avg output tokens

0.250000¢ / req

Daily

$38

Monthly

$1.1K

Annual

$13.7K

Model specifications

These fields describe Gemini 1.5 Pro as we store it (Family: Gemini 1.5. source: Google). They sit next to price so buyers can check limits and tools in one place.

Context window: 2,097,152 tokens
Max output: 8,192 tokens
Vision (images): Yes
Tool / function calling: Yes
Streaming: Yes
Released: Feb 2024
Primary provider: Google
Model family: Gemini 1.5

Compare Gemini 1.5 Pro

Jump into a comparison when you want one table for two models instead of two tabs. 6 curated matches for Gemini 1.5 Pro.

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Frequently asked questions

Answers pull from the same numbers you see on this page. The short model note from our index: Google's most capable Gemini model with the largest context window available.

Gemini 1.5 Pro costs $1.25 per million input tokens and $5.00 per million output tokens via the native API. Prompt caching reduces input costs to $0.31/M tokens.