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Google: Gemini 3.1 Pro Preview (batch): AI model

Context window:
1,048,576 tokens
Input:
$1/1M tokens
Output:
$6/1M tokens
Type:
text, audio, image, video
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: Always thinks · high · medium · low

Google: Gemini 3.1 Pro Preview (batch) is a AI model from Google, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

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-3.1-pro-preview:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorGoogle
TypeText, Audio, Image, Video
Context window1,048,576 tokens
Pricing$1.00/M in · $6.00/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
88.7%
HLE
Humanity's Last Exam
29.5%
IFBench
Instruction-following
49.7%
AA-LCR
Long-context reasoning
74%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
48.3%
Non-Hallucination
Rate of avoiding fabricated answers
10%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
34.1%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
68.1%

Source: Artificial Analysis

Ranking distribution

First
94,302
Second
88,934
Third
27,476
Fourth
15,213

37626 tournaments ?

Agentic Game Dev
Top 92%
1,114Elo
Win rate: 44.2%
Agentic HTML Slides
Top 44%
1,226Elo
Win rate: 55.8%
Agentic Slides
Top 78%
1,112Elo
Win rate: 33.8%
Agentic Slides (HTML)
Top 44%
1,219Elo
Win rate: 54.4%
Agentic Slides (Python)
Top 78%
1,107Elo
Win rate: 33.9%
Android Native
Top 92%
1,064Elo
Win rate: 41.3%
Full-Stack
Top 75%
1,067Elo
Win rate: 40.8%
Godot Game Dev
Top 22%
1,236Elo
Win rate: 60%
HTML Slides
Top 70%
1,153Elo
Win rate: 48.6%Avg time: 160s
Mobile Apps
Top 85%
1,090Elo
Win rate: 43.2%
PPTX Slides
Top 87%
1,110Elo
Win rate: 34.1%
Python Slides
Top 87%
1,109Elo
Win rate: 31.9%Avg time: 290s
Web Apps
Top 74%
1,119Elo
Win rate: 44.6%
3D
Top 26%
1,245Elo
Win rate: 58.4%Avg time: 88.8s
ASCII Art
Top 12%
1,281Elo
Win rate: 63.5%Avg time: 225s
Code
Top 30%
1,237Elo
Win rate: 54.4%Avg time: 98.3s
Data Viz
Top 35%
1,218Elo
Win rate: 52.1%Avg time: 80.4s
Game Dev
Top 32%
1,215Elo
Win rate: 52.1%Avg time: 103s
SVG
Top 11%
1,285Elo
Win rate: 67.8%Avg time: 168s
UI Component
Top 32%
1,233Elo
Win rate: 54%Avg time: 85.5s
Website
Top 28%
1,240Elo
Win rate: 53.8%Avg time: 102s

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-3.1-pro-preview: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-3.1-pro-preview: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-3.1-pro-preview:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Google: Gemini 3.1 Pro Preview (batch) API, paid in rial

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  • One Hormouz key reaches Google: Gemini 3.1 Pro Preview (batch) and 600+ other models, and you pay only for what you use.
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Updated 2026-10-13