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Anthropic: Claude Sonnet 4.6 (batch): AI model

Context window:
1,000,000 tokens
Input:
$1.5/1M tokens
Output:
$7.5/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: max · high · medium · low

Anthropic: Claude Sonnet 4.6 (batch) is a AI model from Anthropic, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-sonnet-4.6:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorAnthropic
TypeText, Image
Context window1,000,000 tokens
Pricing$1.50/M in · $7.50/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

30.1
Intelligence Index
Better than 57% of models we compared
63
Coding Index
Better than 72% of models we compared
31.8
Agentic Index
Better than 70% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
87.5%
HLE
Humanity's Last Exam
33.6%
IFBench
Instruction-following
56.6%
AA-LCR
Long-context reasoning
80%
CritPt
Research-level physics reasoning
3.1%
AA Omniscience
Broad factual knowledge accuracy
40.9%
Non-Hallucination
Rate of avoiding fabricated answers
51.6%

Coding

SciCode
Python for scientific computing
50.1%
Terminal-Bench Hard
Agentic coding & terminal use
53%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
75.7%
GDPval
Economically valuable tasks
36.7%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗

Ranking distribution

First
9,265
Second
6,979
Third
2,827
Fourth
1,134

20205 tournaments ?

Agentic Game Dev
Top 67%
1,177Elo
Win rate: 52.2%
Android Native
Top 35%
1,211Elo
Win rate: 62%
Full-Stack
Top 34%
1,211Elo
Win rate: 64.3%
Godot Game Dev
Top 33%
1,226Elo
Win rate: 60.6%
Mobile Apps
Top 30%
1,209Elo
Win rate: 63.6%
Web Apps
Top 57%
1,183Elo
Win rate: 57%
3D
Top 26%
1,245Elo
Win rate: 57.6%Avg time: 133s
ASCII Art
Top 22%
1,246Elo
Win rate: 60.1%Avg time: 85.9s
Code
Top 16%
1,282Elo
Win rate: 59.4%Avg time: 177s
Data Viz
Top 12%
1,287Elo
Win rate: 58.2%Avg time: 139s
Game Dev
Top 21%
1,272Elo
Win rate: 58.8%Avg time: 179s
SVG
Top 26%
1,196Elo
Win rate: 58.7%Avg time: 56.4s
UI Component
Top 19%
1,278Elo
Win rate: 58.3%Avg time: 149s
Website
Top 11%
1,291Elo
Win rate: 60%Avg time: 200s

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": "anthropic/claude-sonnet-4.6: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="anthropic/claude-sonnet-4.6: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: "anthropic/claude-sonnet-4.6:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Anthropic: Claude Sonnet 4.6 (batch) API, paid in rial

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Updated 2026-10-13