One stable API surface
Call Gemini 3.1 Flash Lite with an APIAny key and a documented request format. Keep your application integration stable while model versions and upstream routes evolve behind the gateway.
Text GenerationGoogle
Gemini 3.1 Flash Lite API
Google Gemini 3.1 Flash Lite combines low latency and economical inference with multimodal understanding, improved reasoning, and long-context processing.
24H Status Monitor
24h success rate: 100%
Model:
Price: 0.3 credits per 1K input tokens · ≈ $0.0001-$0.0003 · 2 credits per 1K output tokens · ≈ $0.001-$0.002High stability with detailed usage records on the APIAny platform.
gemini-3.1-flash-lite
62 (suggested: 2,000)
0.7
02
Sampling temperature. Lower is more deterministic.
1024
168192
USD estimate $0.0015-$0.003: highest recharge package uses $1 = 2,000 credits; entry package uses $1 = 1,000 credits.
Preview
No Task RunningLLMResult preview
History
Saved locally in this browser
0 running · 0 completed
Your generation history will appear here
Input
0.3 credits/1K
≈ $0.0001-$0.0003
Output
2 credits/1K
≈ $0.001-$0.002
Cache
0.03 credits/1K
≈ $0.000013-$0.000025
Context
-
Max output
-
Pricing
Model ID
Type
Quality
Price
gemini-3.1-flash-lite
Text Generation
Input tokens
0.3 credits per 1K input tokens · ≈ $0.0001-$0.0003
gemini-3.1-flash-lite
Text Generation
Cache read tokens
0.03 credits per 1K cached input tokens · ≈ $0.000013-$0.000025
gemini-3.1-flash-lite
Text Generation
Output tokens
2 credits per 1K output tokens · ≈ $0.001-$0.002
gemini-3.1-flash-lite
Text Generation
Minimum request
0.24 credits minimum · ≈ $0.0001-$0.0002
Model IDgemini-3.1-flash-lite
TypeText Generation
QualityInput tokens
Price0.3 credits per 1K input tokens · ≈ $0.0001-$0.0003
Model IDgemini-3.1-flash-lite
TypeText Generation
QualityCache read tokens
Price0.03 credits per 1K cached input tokens · ≈ $0.000013-$0.000025
Model IDgemini-3.1-flash-lite
TypeText Generation
QualityOutput tokens
Price2 credits per 1K output tokens · ≈ $0.001-$0.002
Model IDgemini-3.1-flash-lite
TypeText Generation
QualityMinimum request
Price0.24 credits minimum · ≈ $0.0001-$0.0002
Model overview
What is the Gemini 3.1 Flash Lite API?
Google Gemini 3.1 Flash Lite combines low latency and economical inference with multimodal understanding, improved reasoning, and long-context processing.
Measure throughput, latency, review effort, and unit economics against the operating target this model supports.
APIAny exposes Gemini 3.1 Flash Lite through one documented API surface with live pricing, model status, request examples, and an on-page playground. Teams can evaluate the model here, then keep authentication, usage records, and production routing in the same platform.
Try Gemini 3.1 Flash Lite in the playground
APIAny advantages
Why use Gemini 3.1 Flash Lite through APIAny?
APIAny combines direct model access with the operational controls needed to move from evaluation to production without maintaining a separate integration for every provider.
Transparent usage and pricing
Review the live Gemini 3.1 Flash Lite pricing rules before a request, estimate credits in the playground, and inspect request-level usage records after the call completes.
Production routing controls
Use model status, channel health, retry policy, and usage logs to operate Gemini 3.1 Flash Lite as part of a production workflow instead of treating it as an isolated demo.
Use cases
What can you build with the Gemini 3.1 Flash Lite API?
These workflows show where Gemini 3.1 Flash Lite fits in a real product. Test the same inputs in the playground, compare the output with related models, and choose the route that meets your quality, latency, and budget requirements.
01
Customer support assistants
Use Gemini 3.1 Flash Lite for support classification, answer drafting, self-service guidance, and multilingual conversations. Combine retrieval and policy checks so responses stay grounded in current product information.
Try Gemini 3.1 Flash Lite in the playground
02
Classification and structured extraction
Turn messages and documents into labels, fields, or JSON with Gemini 3.1 Flash Lite. Define a strict output schema and validate results before automated downstream actions.
Try Gemini 3.1 Flash Lite in the playground
03
Multilingual assistants
Build assistants that understand and respond across languages with Gemini 3.1 Flash Lite. Test terminology, tone, locale-specific formatting, and policy behavior with representative conversations before launch.
Try Gemini 3.1 Flash Lite in the playground
Integration
How to integrate the Gemini 3.1 Flash Lite API
Move from a playground test to an authenticated production request in three steps. The page keeps the model identifier, request schema, pricing, and response examples together. Deploy with bounded inputs, observable task states, and clear escalation or fallback paths.
- 01
Create an API key
Sign in to APIAny, create a project API key, and assign only the model scope and budget controls your application needs.
- 02
Send a Gemini 3.1 Flash Lite request
Copy the request example from this page, set the model field to the selected Gemini 3.1 Flash Lite version, and send it to the documented APIAny endpoint.
- 03
Monitor and refine
Track status, latency, credits, and returned usage. Compare versions or related models with the same workload before shifting production traffic.
Core capabilities
Key Gemini 3.1 Flash Lite API features
The following capabilities explain the practical input, output, and workflow characteristics that matter when evaluating Gemini 3.1 Flash Lite. Available request parameters remain visible in the live API reference on this page.
/01
Low-latency execution
Use the faster Gemini 3.1 Flash Lite route for interactive experiences, rapid iteration, and workloads where response time matters.
/02
Cost-efficient scaling
Run higher-volume Gemini 3.1 Flash Lite workloads while using live pricing and request-level usage records to control spend.
/03
Long-context processing
Use a large context window for codebases, documents, conversation history, and multi-step instructions while monitoring token cost.
/04
Multimodal understanding
Combine supported text and visual inputs so Gemini 3.1 Flash Lite can reason over more than one content format in the same workflow.
/05
Complex reasoning
Use Gemini 3.1 Flash Lite to break down multi-step problems, compare alternatives, and produce structured conclusions that can be reviewed.
/06
Streaming responses
Render supported Gemini 3.1 Flash Lite text output incrementally for interactive assistants and long-running generation tasks.
FAQ
Gemini 3.1 Flash Lite API frequently asked questions
Direct answers about capabilities, use cases, integration, and choosing the right Gemini 3.1 Flash Lite route.
What is the Gemini 3.1 Flash Lite API?
Google Gemini 3.1 Flash Lite combines low latency and economical inference with multimodal understanding, improved reasoning, and long-context processing. APIAny makes this model callable through an authenticated API with live pricing, status information, request examples, and a browser playground on the same page.
What can I build with the Gemini 3.1 Flash Lite API?
Common Gemini 3.1 Flash Lite workflows include Customer support assistants, Classification and structured extraction, Multilingual assistants. The best fit depends on the input format, output quality, latency, and cost your product requires.
How do I call Gemini 3.1 Flash Lite through APIAny?
Create an APIAny key, use the endpoint documented on this page, and set the request model field to the selected Gemini 3.1 Flash Lite version. The playground can generate a working payload before you integrate it into application code.
How should I choose a Gemini 3.1 Flash Lite version?
Compare the versions shown on this page by price, supported parameters, and capabilities such as Low-latency execution, Cost-efficient scaling, Long-context processing. Test a representative production input before choosing the default route.
API Reference
Call this model through a standard REST API. Authenticate with your API key, then pick an endpoint below to see its parameters and examples.
Authentication
Every request needs a Bearer token in the Authorization header. Create an API key in the console.
Authorization: Bearer YOUR_API_KEYPOST
https://apiany.ai/v1/chat/completionsRequest parameters
| Parameter | Type | Required | Notes |
|---|---|---|---|
model | string | Required | Model identifier to invoke. Use this model's ID. |
messages | array | Required | Conversation history in OpenAI chat format (role + content). |
stream | boolean | Optional | When true, the response streams back as server-sent events. |
Request example
curl "https://apiany.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.1-flash-lite",
"messages": [
{
"role": "user",
"content": "Summarize the following text in three concise bullet points:"
}
],
"temperature": 0.7,
"max_tokens": 1024
}'Response example
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"model": "gemini-3.1-flash-lite",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 12,
"completion_tokens": 18,
"total_tokens": 30
}
}
