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
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.
Use cases and prompting
Use cases to explore
- Draft and revise text with explicit audience, tone and format requirements.
- Summarize supplied documents and compare answers against the original sources.
Practical tips
Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.
Example prompt
Summarize the following document in five bullet points. Separate confirmed facts from open questions, cite the relevant passages and do not invent missing information. Document: [paste your text]
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)Related pages
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?
Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.