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Google: Gemini 3.7 Flash (batch): AI model

Context window:
1,048,576 tokens
Input:
$0.38/1M tokens
Output:
$1.88/1M tokens
Type:
text, image, video, audio
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: Always thinks · high · medium · low

Google: Gemini 3.7 Flash (batch) is a AI model from Google, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

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:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorGoogle
TypeText, Image, Video, Audio
Context window1,048,576 tokens
Pricing$0.38/M in · $1.88/M out
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

Design Arena

How Design Arena works ↗
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:batch",
    "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:batch",
    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:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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

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Updated 2026-10-13