Google
Google
Efficient

Gemini 3 Flash

Efficient

The efficient tier of the Gemini 3 generation: a 1M-token context window and multimodal input at a fraction of the Pro rate, aimed at high-volume work where latency and cost matter more than peak reasoning depth.

Gemini 3 Flash is a efficient AI model from Google. It costs $0.500 per million input tokens and $3.000 per million output tokens (blended $1.250/M), with a 1,000,000-token context window.

INPUT
$0.500/M
per million input tokens
OUTPUT
$3.000/M
per million output tokens
BLENDED 70/30
$1.250/M
unchanged since 3 May
CONTEXT
1,000,000
tokens
What it is good at
  • Low cost per token
  • 1M-token context
  • Multimodal input
  • Fast responses
Typical use cases
  • High-volume classification and extraction
  • Routing and triage
  • Cheap agent sub-steps
  • Bulk summarisation

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

More from Google

See all 24 →

Frequently asked questions

How much does Gemini 3 Flash cost?

Gemini 3 Flash costs $0.500 per million input tokens and $3.000 per million output tokens, for a blended reference rate of $1.250 per million tokens.

What is Gemini 3 Flash's context window?

Gemini 3 Flash supports up to 1,000,000 tokens of context in a single request.

What is Gemini 3 Flash best for?

Gemini 3 Flash is well suited to Low cost per token, 1M-token context and Multimodal input.

Who makes Gemini 3 Flash?

Gemini 3 Flash is developed and served by Google.

Terms used on this page