tbuy

gemini-3.5-flash-lite API pricing & access

gemini-3.5-flash-lite API pricing: $0.3 per 1M tokens. Compare supported endpoints, capabilities and access options on tbuy.

gemini-3.5-flash-lite API access

Compare supported API endpoints and capabilities, then access gemini-3.5-flash-lite through the unified API gateway.

Category
text
Supported APIs
Gemini API, OpenAI Chat Completions API, Anthropic Messages API
API endpoints
POST /v1beta/models/gemini-3.5-flash-lite:generateContent, POST /v1/chat/completions, POST /v1/messages

gemini-3.5-flash-lite API pricing

Base input price
$0.3 per 1M tokens
Base output price
$1.2 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-3.5-flash-lite

Gemini 3.5 Flash-Lite targets low-latency, high-throughput document processing, extraction and agent sub-tasks. The official model understands text, images, video, audio and PDFs, with text output; it is not an image/audio generator or Live-session model.

Connect using a Gemini or compatible endpoint listed here. Media limits, tools and thinking support depend on the selected protocol and route, rather than being guaranteed across every channel.

Official reference, checked 2026-10-14.

Use cases and prompting

  1. Fix field definitions, null handling and page citations before evaluating extraction on a few PDF pages.
  2. Specify video timestamps or the transcription, summary or search task for audio; expect text output.
  3. Scale media length and volume gradually while measuring accuracy, latency and usage. Client-side batching does not imply an available Batch API.
  4. Compare harder analysis with Gemini 3.1 Pro. See the integration guide for media formats.

How to call gemini-3.5-flash-lite

gemini-3.5-flash-lite 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-3.5-flash-lite", "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-3.5-flash-lite",
    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-3.5-flash-lite",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about gemini-3.5-flash-lite

What is gemini-3.5-flash-lite?

Use gemini-3.5-flash-lite through the API endpoints listed on this page. Compare its configured capabilities and supplier prices before choosing an integration.

How do I call gemini-3.5-flash-lite?

Create an API key with access to gemini-3.5-flash-lite, 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-3.5-flash-lite 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.

How should I evaluate gemini-3.5-flash-lite for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

Back to AI model API pricing