Gemini 3.7 Flash

gemini-3.7-flash

Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.

Context: 1M tokens
Endpoint

Pricing

Input$0.375 / 1M

Output$1.88 / 1M

Cache Write (5m)$0.375 / 1M

Cache Write (1h)$0.375 / 1M

Cache Read$0.375 / 1M

Web Search$0 / 1M

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="gemini-3.7-flash",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="gemini-3.7-flash",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common7 params

modelmessagesmax_tokenstemperaturetop_pstreamtools

Extended4 params

reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

gemini-3.7-flash

Questions about Gemini 3.7 Flash

How much does Gemini 3.7 Flash cost on Apertis?

Gemini 3.7 Flash costs $0.375 per 1M input tokens and $1.88 per 1M output tokens on Apertis.

What is Gemini 3.7 Flash's context window?

Gemini 3.7 Flash has a context window of 1M tokens.

Which company develops Gemini 3.7 Flash?

Gemini 3.7 Flash is developed by Google.

Which model ID do I use to call Gemini 3.7 Flash?

Use the model ID gemini-3.7-flash to call Gemini 3.7 Flash.

Compare with Other Models

See how this model compares to others from the same provider.

Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.

Context: 1M
Input: $2.00/M
Output: $10.00/M

Gemini 3.1 Flash Lite Image (Google Vertex AI)

Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.

Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)

Gemini 3.1 Flash Lite Image (Google AI Studio)

Gemini 3.1 Flash Lite Image served from Google AI Studio. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.

Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)

Gemini 3.1 Flash Image (Google Vertex AI)

Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.

Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)