Gemini 3.1 Pro API
Gemini 3.1 Pro is Google's high-capability multimodal route in this catalog for complex reasoning, coding, and long-context work. It is a natural candidate when a task involves more than plain text, such as combining written requirements with visual material or a substantial technical corpus.
Multimodal work is most effective when the input is intentional: give the model the relevant image, screenshot, document section, or code excerpt and define the decision you need from it. That is more useful than uploading a large bundle and hoping the model infers the operating procedure.
The preview designation is a reminder to evaluate it carefully before making it a hard production dependency. GlideflowAI makes the access pattern consistent, but your application should still use version-aware tests, monitoring, and a fallback route where continuity matters.
What Gemini 3.1 Pro is good for
- Reviewing a UI screenshot alongside a product requirement and source code.
- Analyzing long technical documents with a request for structured findings.
- Multimodal QA assistants that interpret supplied images and written checks.
- Coding workflows that combine architecture notes, diagrams, and source excerpts.
- Research synthesis where the evidence comes in several content formats.
New to the gateway? Start with the quickstart, then review authentication before putting a key in an application.
Before a production launch, keep credentials server-side, record each selected model, token use, and validation result, and define a per-run budget. Those traces let you compare models on the workflow that matters, diagnose failures with evidence, and change a routing rule without guessing when product requirements or traffic change.
When to choose Gemini 3.1 Pro
Choose Gemini 3.1 Pro when multimodal reasoning and substantial context are central to the task. Gemini 3.5 Flash is the option to test for faster multimodal interactions, while Gemini 2.5 Pro is a useful comparison for a high-capability non-preview family route.
Compare the current token rates on Pricing and test the nearest alternatives on your real prompts. The related models below are a useful starting set for that evaluation.
Pricing
USD per 1M tokens. No hidden markup.
Input
Output
Call Gemini 3.1 Pro in seconds
It's OpenAI-compatible. Point your existing client athttps://api.glideflowai.com/v1and set the model togemini-3.1-pro-preview.
curl https://api.glideflowai.com/v1/chat/completions \
-H "Authorization: Bearer sk-xxx" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.1-pro-preview",
"messages": [{"role": "user", "content": "Hello"}]
}'FAQ
What does multimodal mean for this model page?
It refers to workflows that may combine text with visual input, consistent with this model's catalog positioning. Confirm the exact request format and media limits in your integration test before depending on a particular input type.
Should I use a preview model in production?
A preview can be valuable for evaluation and controlled features, but production use should include regression tests, observability, and a fallback plan. Treat behavior and availability as something to verify as the model evolves.
How do I connect through GlideflowAI?
Use the documented API base URL and your GlideflowAI key, then specify gemini-3.1-pro-preview as the model. The authentication and quickstart docs cover the shared connection setup.
How can I keep multimodal prompts efficient?
Send only the visual or document material needed for the question, describe the expected output, and avoid repeatedly attaching unchanged context. Measure the end-to-end workflow rather than assuming any one media format is free or deterministic.