Provider

Google API Cost Calculator and Comparison

Every Google model, side by side — current API rates, context window, benchmarks, and a live calculator that ranks them at your exact workload. 8 active models, 8 with public pricing, from $0.075/1M to $3.50/1M input. Prices refreshed daily from Google’s official pricing page.

Models tracked

8

Active

8

With public pricing

8

Cheapest input

$0.07/1M

As of April 2026, Google offers 8 active AI models via API, ranging from $0.075/1M to $3.50/1M input tokens. The most context-rich model handles up to 2M tokens. Models include support for vision, tool use. All prices are in USD per 1 million tokens; output tokens cost more than input on every model.

Interactive

Calculate your Google API cost at your workload.

Set your workload — every priced model ranks in real time.

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Every model below updates in real time.

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Ranked by your monthly bill

No models with public pricing available to compare right now.

Pricing at a glance

Blended $/1M tokens across the lineup.

Blended price uses a 3-to-1 input/output ratio — a common industry standard. Green bar = cheapest.

Quick picks

Best Google model for your use case.

Lowest cost

Gemini 2.0 Flash-Lite

$0.075/1M input

Largest context

Gemini 2.0 Pro

2M tokens

Vision / multimodal

Gemini 2.0 Flash

Image input

Tool use / agents

Gemini 2.5 Flash

Function calling

Every model

Every Google model — pricing, context & capabilities.

ModelContextInput /1MOutput /1M
Gemini 2.0 Flash-Lite1M$0.075$0.3
Gemini 2.0 Flash1M$0.1$0.4
Gemini 2.5 Flash1M$0.3$2.50
Gemini 3 Flash1M$0.5$3.00
Gemini 2.0 Pro2M$0.7$2.10
Gemini 2.5 Pro2M$1.25$10.00
Gemini 3 Pro2M$2.00$12.00
Gemini 2 Pro2M$3.50$10.50

FAQ

Google — questions we see most.

Pricing patterns, best-known use cases, and how this provider stacks up.

Get instant answers from our AI agent

Google API pricing ranges from $0.075 to $3.50 per 1M input tokens. Output tokens cost more than input on every model. Prices are per 1 million tokens (1M ≈ 750,000 words). Use the calculator above to estimate your monthly spend at your actual workload.
Gemini 2.0 Flash-Lite is the lowest-priced Google model with public pricing at $0.075/1M input tokens. It suits high-volume tasks where cost matters most — classification, extraction, summarization, and similar workloads that don't need frontier reasoning.
Gemini 2 Pro is Google's highest-tier model at $3.50/1M input. It delivers the most sophisticated reasoning, instruction-following, and nuance. For workloads that don't require frontier performance, a mid-tier model typically cuts inference costs substantially.
Gemini 2.0 Flash, Gemini 2.5 Flash, Gemini 3 Flash and 4 more support function calling (tool use), required for agentic workflows. Agents need a model that reliably follows structured output schemas — test with your specific tool definitions before committing to production volumes.
Yes — Gemini 2.0 Flash-Lite, Gemini 2.0 Flash, Gemini 2.5 Flash, Gemini 3 Flash and 4 more accept image input alongside text. You can pass screenshots, photos, charts, and documents for analysis. Vision adds no separate line-item on most Google models — you're billed for the token equivalent of the image.
Yes — Google supports prompt caching (discounts for repeated context) and batch processing (accept a delay, cut costs ~50%). These rates appear in the table above under "Cached /1M" and "Batch /1M." Caching pays off quickly if your prompts share a long system prompt or document prefix across many calls.
Google has historically adjusted prices when launching new model generations, often cutting rates to stay competitive. Buzzi.ai snapshots pricing daily — you can subscribe to price-drop alerts on any Google model using the "Alert me" button on its detail page.
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