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Anthropic: Claude Opus 5.5 (batch): AI model

Context window:
1,000,000 tokens
Input:
$2/1M tokens
Output:
$10/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: Always thinks · max · xhigh · high · medium · low

Anthropic: Claude Opus 5.5 (batch) is a AI model from Anthropic, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

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-5.5:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorAnthropic
TypeText, Image
Context window1,000,000 tokens
Pricing$2.00/M in · $10.00/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

57.6
Intelligence Index
Better than 99% of models we compared

Reasoning

HLE
Humanity's Last Exam
61.4%
AA-LCR
Long-context reasoning
84.7%
CritPt
Research-level physics reasoning
31.7%
AA Omniscience
Broad factual knowledge accuracy
66.2%
Non-Hallucination
Rate of avoiding fabricated answers
41.4%

Coding

SciCode
Python for scientific computing
66.9%

Agentic

GDPval
Economically valuable tasks
68.4%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗
Mobile Apps
Top 4%
1,328Elo
Win rate: 64.3%
3D
Top 1%
1,457Elo
Win rate: 73.3%Avg time: 303s
Code
Top 1%
1,395Elo
Win rate: 64.8%Avg time: 285s
Data Viz
Top 1%
1,398Elo
Win rate: 67.1%Avg time: 271s
Game Dev
Top 1%
1,479Elo
Win rate: 73.6%Avg time: 321s
SVG
Top 1%
1,335Elo
Win rate: 49.4%Avg time: 44.9s
UI Component
Top 1%
1,388Elo
Win rate: 64%Avg time: 201s
Website
Top 3%
1,343Elo
Win rate: 57.7%Avg time: 277s

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-5.5: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-5.5: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-5.5:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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Updated 2026-10-13