1M
text, file, image, audio, video
text
Supported
About this model
Gemini 3.1 Flash-Lite is Google's low-latency, cost-effective multimodal model optimized for high-frequency and high-volume workloads. It supports text, image, video, audio, and PDF inputs and is designed for lightweight reasoning, data extraction, agentic workflows, tool use, and applications where latency and API cost are primary considerations.
Input modalities
text
Accepted as model input
file
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
$0.250 / 1M tokens
Output tokens
$1.500 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.250 / 1M tokens |
| Output tokens | $1.500 / 1M tokens |
| Cached input tokens | $0.025 / 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-3.1-flash-lite", "messages": [ { "role": "user", "content": "Hello!" } ] }'
Community Model Reviews & Ratings
Verified visitor & developer evaluations on Google: Gemini 3.1 Flash-Lite's real-world intelligence, code accuracy, and speed
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Be the first to share developer feedback on Google: Gemini 3.1 Flash-Lite's latency, code accuracy, and reliability in production.