Hormouz AIHormouzSign in

Google: Gemini 3.7 Flash: AI model

Gemini 3.7 Flash is a fast multimodal model for agents and coding from Google with a 1M-token context window. Reachable from inside Iran through Hormouz.

Context window:
1,048,576 tokens
Input:
$0.75/1M tokens
Output:
$3.75/1M tokens
Discount:
−50%
Type:
text, image, video, audio
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: Always thinks · high · medium · low

Gemini 3.7 Flash is a Google Flash-tier model for fast agent workflows, coding and multi-step reasoning. It accepts text, images, video, audio and PDFs over a 1M-token context and reasons on every request with an adjustable effort. It has since been followed by Gemini 3.8 Flash, which improves on it in coding and agent work.

It accepts text, image, file (PDF), audio and video input and returns text, and supports tool calling, structured JSON output and streaming. It always reasons before answering, and you choose how hard it thinks with the reasoning effort setting. Gemini 3.7 Flash is commonly used for fast agents, coding help, multimodal analysis of documents, audio and video, and multi-step reasoning. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Pricing is usage-based: $0.75 per million input tokens and $3.75 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-3.7-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorGoogle
TypeText, Image, Video, Audio
Context window1,048,576 tokens
PricingPrevious price: $1.5 / $7.5 per MDiscounted price: $0.75 / $3.75 per M−50%
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

39.1
Intelligence Index
Better than 76% of models we compared
76.1
Coding Index
Better than 91% of models we compared
35.2
Agentic Index
Better than 72% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
94.5%
HLE
Humanity's Last Exam
47.9%
AA-LCR
Long-context reasoning
81.7%
CritPt
Research-level physics reasoning
14.3%
AA Omniscience
Broad factual knowledge accuracy
55.3%
Non-Hallucination
Rate of avoiding fabricated answers
35.5%

Coding

SciCode
Python for scientific computing
57.2%

Agentic

GDPval
Economically valuable tasks
44.6%

Source: Artificial Analysis

Agentic Game Dev
Top 25%
1,235Elo
Win rate: 52.1%
Android Native
Top 16%
1,255Elo
Win rate: 53.3%
Full-Stack
Top 39%
1,207Elo
Win rate: 43.5%
Godot Game Dev
Top 17%
1,264Elo
Win rate: 50.8%
Mobile Apps
Top 15%
1,233Elo
Win rate: 53.4%
Web Apps
Top 38%
1,214Elo
Win rate: 46.6%
3D
Top 9%
1,320Elo
Win rate: 54.6%Avg time: 85.2s
ASCII Art
Top 10%
1,287Elo
Win rate: 56%Avg time: 42.1s
Code
Top 7%
1,316Elo
Win rate: 54.5%Avg time: 129s
Data Viz
Top 6%
1,322Elo
Win rate: 56.5%Avg time: 104s
Game Dev
Top 5%
1,335Elo
Win rate: 54.2%Avg time: 109s
SVG
Top 12%
1,280Elo
Win rate: 53.2%Avg time: 35.5s
UI Component
Top 10%
1,306Elo
Win rate: 52.2%Avg time: 88.5s
Website
Top 6%
1,311Elo
Win rate: 54.5%Avg time: 138s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-3.7-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="google/gemini-3.7-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "google/gemini-3.7-flash",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Google: Gemini 3.7 Flash API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Google: Gemini 3.7 Flash and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Create an accountBuy Gemini API access, paid in rial

Use via Hormouz

Connect to this model and 600+ others with one API key, then see usage down to each request.

Request company access

FAQ

How much does Gemini 3.7 Flash cost?
Pricing is usage-based: $0.75 per million input tokens and $3.75 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Gemini 3.7 Flash from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Gemini 3.7 Flash compatible with OpenAI code?
Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Gemini 3.7 Flash have?
It has a 1M-token context window, accepts text, image, file (PDF), audio and video input, and supports tool calling, structured JSON output and streaming. It always reasons before answering, and you choose how hard it thinks with the reasoning effort setting.
What is Gemini 3.7 Flash good for?
Typical uses are fast agents, coding help, multimodal analysis of documents, audio and video, and multi-step reasoning.

Updated 2026-10-13