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Gemini 3.1 Pro
Commercial useGemini 3.1 Pro (Google Vertex) - reasoning/chat LLM with 1 million token context (1,048,576 input / 65,536 output). MULTIMODAL input: text + images + audio + video + documents. Thinking + Grounding with Google Search/Maps/Partners + function calling. TEXT-only output.
Pricing theo tokenInput 100 credits / 1M (≈ $0.50)Output 700 credits / 1M (≈ $3.50)1M free tokens/mo
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Input
Used to describe the generated output.
Image for reference
Audio for reference
Video for reference
Priced per token (in 100 · out 700 cr / 1M)
Output
output typetext
Ready to create
Fill the inputs and click Run.
Examples
Click an example to load it into the Playground and try it.
README
Gemini 3.1 Pro API
Gemini 3.1 Pro (Google Vertex) - reasoning/chat LLM with 1 million token context (1,048,576 input / 65,536 output). MULTIMODAL input: text + images + audio + video + documents. Thinking + Grounding with Google Search/Maps/Partners + function calling. TEXT-only output.
Capabilities
- ✓ chat
How to use it on CinAPI
- 1Create an API key. Go to API Keys to create a hal_… key for your app.
- 2Try it in the Playground. Fill in the Playground tab form and click Run to see instant results (real credits deducted).
- 3Call via the API. POST to /v1/claude with a Bearer key to integrate it into your product.
- 4Integrate & scale. One key works for every model (text / image / video). Track usage & logs in the dashboard.
Pricing
0 credits per run (≈ $0.00). Credits never expire; top up on the Billing page. Some models are priced by parameters (resolution, duration) — the price updates in real time on the Run button before you run.
Frequently asked questions
Sign up for a CinAPI account, create an API key under API Keys, then call the endpoint with a Bearer key. New accounts get 200 free credits.
chat