Model Cost Profile

Google: Gemini 2.0 Flash

Developer: google

Pricing updated Mar 11, 2026

Input rank: #83Output rank: #100

Live Pricing

Input: $0.1000

Output: $0.4000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Google's Gemini 2.0 Flash offers a substantial context window of 1,048,576 tokens, making it ideal for applications requiring extensive data processing, such as large-scale document analysis and complex natural language understanding tasks. With an input price of $0.10 per million tokens and an output price of $0.40 per million tokens, teams can effectively manage costs while leveraging the model for high-volume projects. This pricing structure allows organizations to optimize their budget for API usage, particularly in scenarios involving iterative querying or extensive content generation.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

1,048,576

Tokens

Input Price / 1M

$0.1000

Prompt tokens

Output Price / 1M

$0.4000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Google: Gemini 2.0 Flash Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1000$0.2500$0.4000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1000

Current Output / 1M

$0.4000

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Google: Gemini 2.0 Flash.

How much does Google: Gemini 2.0 Flash cost per 1M input tokens?

Google: Gemini 2.0 Flash input pricing is $0.1000 per 1M tokens based on the latest synced provider data.

How much does Google: Gemini 2.0 Flash cost per 1M output tokens?

Google: Gemini 2.0 Flash output pricing is $0.4000 per 1M tokens based on the latest synced provider data.

What context window does Google: Gemini 2.0 Flash support?

Google: Gemini 2.0 Flash supports a context window of 1,048,576 tokens.

How can I compare Google: Gemini 2.0 Flash with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.