Model:
Sampling temperature. Lower is more deterministic.
Optional reasoning effort. Leave unset to use the model default. Higher effort can use more tokens and time.
USD estimate $0.008-$0.016: highest recharge package uses $1 = 2,000 credits; entry package uses $1 = 1,000 credits.
History
Saved locally in this browser
0 running · 0 completed
Input
≈ $0.0013-$0.0025
Output
≈ $0.0075-$0.015
Cache
≈ $0.0006-$0.0013
Context
Max output
Authentication
Every request needs a Bearer token in the Authorization header. Create an API key in the console.
Authorization: Bearer YOUR_API_KEYhttps://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-pro",
"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-pro",
"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
}
}Model overview
Google Gemini 3.1 Pro is a top-tier multimodal model for complex reasoning, long-context understanding, coding, and demanding production applications.
Evaluate the model against reasoning depth, workflow fit, and production constraints before standardizing a route.
Gemini 3.1 Pro is available on APIAny as 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 Pro in the playground
Sources
The quotations below are from official API documentation that APIAny implements against.
The Gemini API provides access to Google's most capable generative AI models.
The Chat Completions API endpoint will generate a model response from a list of messages comprising a conversation.
Use cases
The Gemini 3.1 Pro API is used for product workflows that need this model's output. Test the same inputs in the playground, compare related models, and choose the route that meets your quality, latency, and budget requirements.
01
Use Gemini 3.1 Pro to decompose difficult questions, compare evidence, and produce decision-ready analysis. Ask the model to distinguish sourced facts, assumptions, and recommendations so reviewers can verify the result.
Try Gemini 3.1 Pro in the playground
02
Apply Gemini 3.1 Pro to contracts, reports, research collections, and large technical documents. Structured prompts can extract evidence, compare sections, and produce summaries that retain links to the original context.
Try Gemini 3.1 Pro in the playgroundAPIAny advantages
Gemini 3.1 Pro on APIAny is a production route with one key, live prices, status, and usage records, so you do not maintain a separate provider integration.
Call Gemini 3.1 Pro with an APIAny key and a documented request format. Keep your application integration stable while model versions and upstream routes evolve behind the gateway.
Review the live Gemini 3.1 Pro pricing rules before a request, estimate credits in the playground, and inspect request-level usage records after the call completes.
Core capabilities
Gemini 3.1 Pro API features are the input, output, and workflow traits that matter when you evaluate this model. Available request parameters remain visible in the live API reference on this page.
/01
Use Gemini 3.1 Pro to break down multi-step problems, compare alternatives, and produce structured conclusions that can be reviewed.
/02
Combine supported text and visual inputs so Gemini 3.1 Pro can reason over more than one content format in the same workflow.
/03
Use a large context window for codebases, documents, conversation history, and multi-step instructions while monitoring token cost.
/04
Apply Gemini 3.1 Pro to implementation, debugging, refactoring, repository navigation, and technical explanation with test-based verification.
Integration
Integrating the Gemini 3.1 Pro API is a three-step path from playground test to authenticated production request. The page keeps the model identifier, request schema, pricing, and response examples together. Move from a representative prompt to monitored production traffic with explicit quality and fallback checks.
Sign in to APIAny, create a project API key, and assign only the model scope and budget controls your application needs.
Copy the request example from this page, set the model field to the selected Gemini 3.1 Pro version, and send it to the documented APIAny endpoint.
Track status, latency, credits, and returned usage. Compare versions or related models with the same workload before shifting production traffic.
FAQ
Direct answers about capabilities, use cases, integration, and choosing the right Gemini 3.1 Pro route.
Google Gemini 3.1 Pro is a top-tier multimodal model for complex reasoning, long-context understanding, coding, and demanding production applications. APIAny makes this model callable through an authenticated API with live pricing, status information, request examples, and a browser playground on the same page.
Common Gemini 3.1 Pro workflows include Research and complex reasoning, Long-document analysis, Coding agents and software delivery. The best fit depends on the input format, output quality, latency, and cost your product requires.
Create an APIAny key, use the endpoint documented on this page, and set the request model field to the selected Gemini 3.1 Pro version. The playground can generate a working payload before you integrate it into application code.
03
Use Gemini 3.1 Pro for repository analysis, implementation planning, code generation, review, and tool-assisted development. Provide clear constraints and validate generated changes with the same tests used by your engineering team.
Try Gemini 3.1 Pro in the playground
Use model status, channel health, retry policy, and usage logs to operate Gemini 3.1 Pro as part of a production workflow instead of treating it as an isolated demo.
/05
Let Gemini 3.1 Pro prepare or select tool calls while your application enforces permissions, validates arguments, and records actions.
/06
Render supported Gemini 3.1 Pro text output incrementally for interactive assistants and long-running generation tasks.
Compare the versions shown on this page by price, supported parameters, and capabilities such as Complex reasoning, Multimodal understanding, Long-context processing. Test a representative production input before choosing the default route.
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