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gemini-3.1-pro-preview-customtools API pricing & access
gemini-3.1-pro-preview-customtools API pricing: $2 per 1M tokens. gemini-3.1-pro. Detailed model specifications await confirmation from the service provider…
gemini-3.1-pro-preview-customtools API access
gemini-3.1-pro. Detailed model specifications await confirmation from the service provider. Unverified parameters are not guaranteed.
Compare supported API endpoints and capabilities, then access gemini-3.1-pro-preview-customtools through the unified API gateway.
- Category
- text
- Context length
- 1048576 tokens
- Maximum output
- 65536 tokens
- Supported APIs
- Gemini API, OpenAI Chat Completions API, Anthropic Messages API
- API endpoints
- POST /v1beta/models/gemini-3.1-pro-preview-customtools:generateContent, POST /v1/chat/completions, POST /v1/messages
- Input modalities
- text, image, audio, video, file
- Output modalities
- text
- Capabilities
- structured output, function calling, vision, caching, reasoning
gemini-3.1-pro-preview-customtools API pricing
- Base input price
- $2 per 1M tokens
- Base output price
- $12 per 1M tokens
Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.
About gemini-3.1-pro-preview-customtools
Gemini 3.1 Pro supports document, code and multimodal analysis. The official Preview model has a 1,048,576-token context and up to 65,536 output tokens, accepting text, images, audio, video and PDFs with text output. The verified Google AI Studio route maps this catalog name to gemini-3.1-pro-preview; other routes may differ.
Official reference, checked 2026-10-13.
Use cases and prompting
Test a short text request using the Gemini endpoint shown here before adding media. Ask document answers to cite pages or passages and code reviews to include reproduction steps. Multimodal understanding does not imply live speech or image/audio generation. Compare the selected route, latency and actual usage before scaling up.
How to call gemini-3.1-pro-preview-customtools
gemini-3.1-pro-preview-customtools is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.
curl (OpenAI-compatible)
curl https://modelsok.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "gemini-3.1-pro-preview-customtools", "messages": [{"role": "user", "content": "Hello"}]}'Python (openai SDK)
from openai import OpenAI
client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="gemini-3.1-pro-preview-customtools",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Python (anthropic SDK)
from anthropic import Anthropic
client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
model="gemini-3.1-pro-preview-customtools",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about gemini-3.1-pro-preview-customtools
What is gemini-3.1-pro-preview-customtools?
gemini-3.1-pro. Detailed model specifications await confirmation from the service provider. Unverified parameters are not guaranteed.
How do I call gemini-3.1-pro-preview-customtools?
Create an API key with access to gemini-3.1-pro-preview-customtools, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is gemini-3.1-pro-preview-customtools priced?
Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.
What is the context window of gemini-3.1-pro-preview-customtools?
The model catalog lists a context window of 1048576 tokens. Check the selected endpoint for request limits.
What is the maximum output of gemini-3.1-pro-preview-customtools?
The model catalog lists a maximum output of 65536 tokens. Your request settings may set a lower limit.
How should I evaluate gemini-3.1-pro-preview-customtools for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.