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gemini-3.5-flash API pricing & access

gemini-3.5-flash API pricing: $1.5 per 1M tokens. gemini-3.5-flash. Supports text, image, video, audio, file input and text output. Listed s…

gemini-3.5-flash API access

gemini-3.5-flash. Supports text, image, video, audio, file input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

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

Category
text
Context length
1048576 tokens
Maximum output
65536 tokens
Supported APIs
Gemini API, OpenAI Chat Completions API, Anthropic Messages API
API endpoints
POST /v1beta/models/gemini-3.5-flash:generateContent, POST /v1/chat/completions, POST /v1/messages
Input modalities
text, image, video, audio, file
Output modalities
text
Capabilities
function calling, structured output, reasoning, caching, vision

gemini-3.5-flash API pricing

Base input price
$1.5 per 1M tokens
Base output price
$9 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

gemini-3.5-flash is a deprecated Flash identifier. Google says native Gemini API requests to it are automatically routed to gemini-3.6-flash and the old model is no longer selectable in AI Studio. This page helps identify and migrate existing configurations.

The native-provider redirect does not establish the mapping used by every platform route. Check returned model information and retest multimodal inputs and tool results when switching to an explicitly identified replacement.

Official reference, checked 2026-10-14.

Use cases and prompting

  1. Locate this old model string in application configuration and identify dependent tasks.
  2. Record the route's returned model identifier and compare it with the provider redirect.
  3. Retest the same image, video or tool task on the replacement and compare fields and final states.
  4. Compare the same test cases with gemini-3.6-flash; check request and response formats in the API documentation.

How to call gemini-3.5-flash

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

Frequently asked questions about gemini-3.5-flash

What is gemini-3.5-flash?

gemini-3.5-flash. Supports text, image, video, audio, file input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

How do I call gemini-3.5-flash?

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

What is the context window of gemini-3.5-flash?

The model catalog lists a context window of 1048576 tokens. Check the selected endpoint for request limits.

What is the maximum output of gemini-3.5-flash?

The model catalog lists a maximum output of 65536 tokens. Your request settings may set a lower limit.

How should I evaluate gemini-3.5-flash 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