One stable API surface
Call Gemini 3.5 Flash 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 3.5 Flash API
Google Gemini 3.5 Flash delivers fast, cost-efficient multimodal reasoning and large-context processing for high-throughput production workloads.
24H Status Monitor
24h success rate: 100%
Model:
Price: 1.88 credits per 1K input tokens · ≈ $0.0009-$0.0019 · 12.5 credits per 1K output tokens · ≈ $0.0063-$0.0125High stability with detailed usage records on the APIAny platform.
gemini-3.5-flash
113 (suggested: 2,000)
0.7
02
Sampling temperature.
4096
165536
Maximum output tokens.
USD estimate $0.026-$0.052: 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
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Input
1.88 credits/1K
≈ $0.0009-$0.0019
Output
12.5 credits/1K
≈ $0.0063-$0.0125
Cache
0.19 credits/1K
≈ $0.000094-$0.0002
Context
1M
Max output
66k
Pricing
Model ID
Type
Quality
Price
gemini-3.5-flash
Text Generation
Input tokens
1.88 credits per 1K input tokens · ≈ $0.0009-$0.0019
gemini-3.5-flash
Text Generation
Cache read tokens
0.19 credits per 1K cached input tokens · ≈ $0.000094-$0.0002
gemini-3.5-flash
Text Generation
Output tokens
12.5 credits per 1K output tokens · ≈ $0.0063-$0.0125
gemini-3.5-flash
Text Generation
Minimum request
3.38 credits minimum · ≈ $0.0017-$0.0034
Model IDgemini-3.5-flash
TypeText Generation
QualityInput tokens
Price1.88 credits per 1K input tokens · ≈ $0.0009-$0.0019
Model IDgemini-3.5-flash
TypeText Generation
QualityCache read tokens
Price0.19 credits per 1K cached input tokens · ≈ $0.000094-$0.0002
Model IDgemini-3.5-flash
TypeText Generation
QualityOutput tokens
Price12.5 credits per 1K output tokens · ≈ $0.0063-$0.0125
Model IDgemini-3.5-flash
TypeText Generation
QualityMinimum request
Price3.38 credits minimum · ≈ $0.0017-$0.0034
Model overview
What is the Gemini 3.5 Flash API?
Google Gemini 3.5 Flash delivers fast, cost-efficient multimodal reasoning and large-context processing for high-throughput production workloads.
Measure throughput, latency, review effort, and unit economics against the operating target this model supports.
APIAny exposes Gemini 3.5 Flash 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 3.5 Flash in the playground
APIAny advantages
Why use Gemini 3.5 Flash 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 3.5 Flash 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 3.5 Flash as part of a production workflow instead of treating it as an isolated demo.
Use cases
What can you build with the Gemini 3.5 Flash API?
These workflows show where Gemini 3.5 Flash 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
Tool-connected workflow automation
Use Gemini 3.5 Flash to classify tasks, select tools, prepare structured arguments, and summarize results inside a larger workflow. Keep permissions and action validation outside the model boundary.
Try Gemini 3.5 Flash in the playground
02
Multilingual assistants
Build assistants that understand and respond across languages with Gemini 3.5 Flash. Test terminology, tone, locale-specific formatting, and policy behavior with representative conversations before launch.
Try Gemini 3.5 Flash in the playground
03
Classification and structured extraction
Turn messages and documents into labels, fields, or JSON with Gemini 3.5 Flash. Define a strict output schema and validate results before automated downstream actions.
Try Gemini 3.5 Flash in the playground
Integration
How to integrate the Gemini 3.5 Flash 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 3.5 Flash request
Copy the request example from this page, set the model field to the selected Gemini 3.5 Flash 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 3.5 Flash API features
The following capabilities explain the practical input, output, and workflow characteristics that matter when evaluating Gemini 3.5 Flash. Available request parameters remain visible in the live API reference on this page.
/01
Low-latency execution
Use the faster Gemini 3.5 Flash route for interactive experiences, rapid iteration, and workloads where response time matters.
/02
Complex reasoning
Use Gemini 3.5 Flash to break down multi-step problems, compare alternatives, and produce structured conclusions that can be reviewed.
/03
Multimodal understanding
Combine supported text and visual inputs so Gemini 3.5 Flash can reason over more than one content format in the same workflow.
/04
Long-context processing
Use a large context window for codebases, documents, conversation history, and multi-step instructions while monitoring token cost.
/05
Cost-efficient scaling
Run higher-volume Gemini 3.5 Flash workloads while using live pricing and request-level usage records to control spend.
/06
Streaming responses
Render supported Gemini 3.5 Flash text output incrementally for interactive assistants and long-running generation tasks.
FAQ
Gemini 3.5 Flash API frequently asked questions
Direct answers about capabilities, use cases, integration, and choosing the right Gemini 3.5 Flash route.
What is the Gemini 3.5 Flash API?
Google Gemini 3.5 Flash delivers fast, cost-efficient multimodal reasoning and large-context processing for high-throughput production workloads. 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 3.5 Flash API?
Common Gemini 3.5 Flash workflows include Tool-connected workflow automation, Multilingual assistants, Classification and structured extraction. The best fit depends on the input format, output quality, latency, and cost your product requires.
How do I call Gemini 3.5 Flash through APIAny?
Create an APIAny key, use the endpoint documented on this page, and set the request model field to the selected Gemini 3.5 Flash version. The playground can generate a working payload before you integrate it into application code.
How should I choose a Gemini 3.5 Flash version?
Compare the versions shown on this page by price, supported parameters, and capabilities such as Low-latency execution, Complex reasoning, Multimodal understanding. 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-3.5-flash",
"messages": [
{
"role": "user",
"content": "Summarize APIAny.AI's multi-channel model aggregation in three sentences, and give one production recommendation."
}
],
"temperature": 0.7,
"max_tokens": 4096
}'Response example
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"model": "gemini-3.5-flash",
"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
}
}
