Gemini 3.5 Flash API
Gemini 3.5 Flash is Google's fast, multimodal reasoning option for assistants that need responsive interactions without limiting themselves to plain text. It suits product features where a model may interpret supplied visual context, reason about it, and return a practical answer quickly enough for an interactive flow.
The model is especially relevant to teams designing concise multimodal tasks: inspect a screenshot, extract the important facts, draft a response, or guide a user through a next step. Keep the task bounded and build a normal application fallback for inputs that are unclear or sensitive.
Using one gateway endpoint also means you can benchmark it against a Gemini Pro route or another provider without rewriting your client. Keep the test input, instructions, and output checks the same to get an honest comparison.
What Gemini 3.5 Flash is good for
- Interactive screenshot or image-assisted support flows.
- Fast visual QA checks against a short acceptance checklist.
- Multimodal product assistants that answer from text and supplied media.
- Extracting useful facts from a document image for a downstream workflow.
- Reasoning-heavy chat features where fast iteration matters.
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 3.5 Flash
Choose Gemini 3.5 Flash for responsive multimodal reasoning. Use Gemini 3.1 Pro when a task needs the higher-capability Pro route, or Gemini 2.5 Flash for high-volume, more routine multimodal extraction and assistant work.
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 3.5 Flash in seconds
It's OpenAI-compatible. Point your existing client athttps://api.glideflowai.com/v1and set the model togemini-3.5-flash.
curl https://api.glideflowai.com/v1/chat/completions \
-H "Authorization: Bearer sk-xxx" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-flash",
"messages": [{"role": "user", "content": "Hello"}]
}'FAQ
Is Gemini 3.5 Flash only for images?
No. It is a general fast Gemini route with multimodal and reasoning tags. It can serve text-centric work too, but its clearest fit is a workflow where visual input may add useful context.
How do I decide between Flash and Pro?
Use Flash when responsiveness and a bounded interaction are important; test Pro when the task involves more complex analysis or a larger body of context. Run the same real examples through both and compare the product outcome.
Can I retain conversation history?
Your application can send prior messages as part of a request, subject to the model and gateway capabilities you verify. Trim history to what changes the answer, and avoid including confidential information unless your data-handling policy permits it.
What does it cost to get started?
The Pricing section lists separate input and output token rates per million tokens. Your actual usage depends on the content you send and receive, so test with representative text and media rather than estimating from a single short prompt.