Gemini 3.5 Flash Lite
The fastest, cheapest 3.5 model for high-throughput work.
Gemini 3.5 Flash Lite is the fastest and most cost-effective model in the 3.5 line, built for high-throughput, low-latency work such as agentic search and document processing.
- High volume
- Low latency
- Document processing
Model details
- Context window
- 1.0M tokens
- Max output
- 66K tokens
- Input
- Text, images, audio, documents
- Output
- Text
- Capabilities
- Reasoning, Vision, Tool calling, Streaming, JSON output
- Interfaces
- OpenAI-style Chat Completions, Anthropic-style Messages, OpenAI-style Responses
Pricing
Prices use the units shown below. No gateway fees. Usage, size and model options may affect the total.
| Metric | Price |
|---|---|
| / 1M input tokens | $0.3 |
| / 1M output tokens | $2.5 |
| / 1M cached input tokens | $0.03 |
| / 1M cache write tokens (5 min) | $0.08333 |
| / web search | $0.014 |
Why teams pick it
- Fastest, most cost-effective 3.5 model
- Built for high-throughput, low-latency work
- 1M-token context with vision and document input
Call Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite answers on any of the APIs below — pick the one your code already speaks and just swap in your Cloakray key.
/v1/chat/completionsOpenAI-style Chat Completions · openai SDK or plain HTTP
curl https://api.cloakray.com/v1/chat/completions \
-H "Authorization: Bearer ckr_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-flash-lite",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'/v1/messagesAnthropic-style Messages · @anthropic-ai/sdk SDK or plain HTTP
curl https://api.cloakray.com/v1/messages \
-H "Authorization: Bearer ckr_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-flash-lite",
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'/v1/responsesOpenAI-style Responses · openai SDK or plain HTTP
curl https://api.cloakray.com/v1/responses \
-H "Authorization: Bearer ckr_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-flash-lite",
"input": "Hello"
}'Conversation compaction is also available at POST /v1/responses/compact.