1M
text, image, audio, video
text
Supported
About this model
Gemini 3 Flash is Google's fast multimodal reasoning model in the Gemini 3 family, designed for advanced multimodal understanding, coding, agentic workflows, and complex reasoning while maintaining Flash-class speed and efficiency. It supports a 1M-token input context window and up to 65,536 output tokens, with native support for text, images, audio, video, and PDFs. The model supports configurable thinking, function calling, computer use, code execution, Google Search and Maps grounding, file search, structured outputs, URL context, context caching, and combined built-in and custom tool use.
Input modalities
text
Accepted as model input
image
Accepted as model input
audio
Accepted as model input
video
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.500 / 1M tokens
Output tokens
$3.000 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.500 / 1M tokens |
| Output tokens | $3.000 / 1M tokens |
| Cached input tokens | $0.050 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "google/gemini-3-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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