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Gemini 3.8 Flash (batch)

text+image+file+audio+video->text

Gemini 3.8 Flash (batch) is a compact variant — chosen for high throughput and low cost rather than absolute capability. Available via Google. 1,048,576-token context. Efficient pricing.

Gemini 3.8 Flash (batch) is a multimodal AI model from Google. It costs $0.375 per million input tokens and $1.875 per million output tokens (blended $0.825/M), with a 1,048,576-token context window.

INPUT
$0.375/M
per million input tokens
OUTPUT
$1.875/M
per million output tokens
CONTEXT
1,048,576
tokens
What it is good at
  • Sub-second latency
  • Affordable at scale
  • Good for routing & classification
  • Multimodal: handles images alongside text
Typical use cases
  • Routing & classification
  • Bulk summarisation
  • Realtime chat UX

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.

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Frequently asked questions

How much does Gemini 3.8 Flash (batch) cost?

Gemini 3.8 Flash (batch) costs $0.375 per million input tokens and $1.875 per million output tokens, for a blended reference rate of $0.825 per million tokens.

What is Gemini 3.8 Flash (batch)'s context window?

Gemini 3.8 Flash (batch) supports up to 1,048,576 tokens of context in a single request.

What is Gemini 3.8 Flash (batch) best for?

Gemini 3.8 Flash (batch) is well suited to Sub-second latency, Affordable at scale and Good for routing & classification.

Who makes Gemini 3.8 Flash (batch)?

Gemini 3.8 Flash (batch) is developed and served by Google.

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