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Anthropic: Claude Opus 4.1 (batch): AI model

Context window:
200,000 tokens
Input:
$7.5/1M tokens
Output:
$37.5/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels:

Anthropic: Claude Opus 4.1 (batch) is a AI model from Anthropic, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

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-opus-4.1:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorAnthropic
TypeText, Image
Context window200,000 tokens
Pricing$7.50/M in · $37.50/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
80.9%
HLE
Humanity's Last Exam
12.5%
IFBench
Instruction-following
55.4%
AA-LCR
Long-context reasoning
76%
CritPt
Research-level physics reasoning
0%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
34.3%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
71.4%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗
3D
Top 46%
1,164Elo
Win rate: 51.9%Avg time: 76.8s
ASCII Art
Top 40%
1,178Elo
Win rate: 51.5%Avg time: 44.5s
Code
Top 55%
1,171Elo
Win rate: 50.1%Avg time: 105s
Data Viz
Top 57%
1,169Elo
Win rate: 47.9%Avg time: 85.2s
Game Dev
Top 49%
1,176Elo
Win rate: 51.3%Avg time: 111s
SVG
Top 63%
1,109Elo
Win rate: 50.1%Avg time: 27.5s
UI Component
Top 56%
1,162Elo
Win rate: 48.7%Avg time: 92.4s
Website
Top 57%
1,171Elo
Win rate: 49.4%Avg time: 112s

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-opus-4.1: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-opus-4.1: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-opus-4.1:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Anthropic: Claude Opus 4.1 (batch) API, paid in rial

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Updated 2026-10-13