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Anthropic: Claude Opus 4.5: AI model

Claude Opus 4.5 is a maximum-capability model for demanding engineering and multi-step agent tasks from Anthropic, with a 200K-token context window. Reachable from inside Iran through Hormouz.

Context window:
200,000 tokens
Input:
$5/1M tokens
Output:
$25/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels:

Claude Opus 4.5 is the top-capability tier of the Claude family, aimed at the hardest coding, reasoning and long-horizon agentic work. It accepts text and image input and returns text, supports tool calling for building agents and automations, and works with streaming responses. It also supports extended reasoning, so you can trade extra thinking time for higher accuracy on hard problems. The context window is 200K tokens, which suits long documents, large codebases and multi-turn sessions.

Opus-class models are commonly used for complex software engineering, large-codebase refactors, multi-step debugging, long-running agent pipelines and demanding knowledge work. Hormouz serves it behind an OpenAI-compatible API, so you can point your base URL at Hormouz, drop in a Hormouz key, and run existing OpenAI SDK code without changes.

Pricing is usage-based: $5 per million input tokens and $25 per million output tokens. There is no fixed monthly fee. You pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

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-4.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorAnthropic
TypeText, Image
Context window200,000 tokens
Pricing$5.00/M in · $25.00/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
81%
HLE
Humanity's Last Exam
13.2%
IFBench
Instruction-following
43%
AA-LCR
Long-context reasoning
70.7%
CritPt
Research-level physics reasoning
0.3%
AA Omniscience
Broad factual knowledge accuracy
40.9%
Non-Hallucination
Rate of avoiding fabricated answers
23.8%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
40.9%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
86.3%

Source: Artificial Analysis

3D
Top 29%
1,224Elo
Win rate: 58.5%Avg time: 86.1s
ASCII Art
Top 34%
1,201Elo
Win rate: 54.8%Avg time: 48.3s
Code
Top 26%
1,248Elo
Win rate: 59.5%Avg time: 124s
Data Viz
Top 23%
1,251Elo
Win rate: 58.5%Avg time: 92.9s
Game Dev
Top 26%
1,242Elo
Win rate: 59.3%Avg time: 126s
SVG
Top 33%
1,180Elo
Win rate: 58.7%Avg time: 31.9s
UI Component
Top 28%
1,245Elo
Win rate: 58.1%Avg time: 99.9s
Website
Top 25%
1,253Elo
Win rate: 59.7%Avg time: 136s
Android Native
Top 46%
1,191Elo
Win rate: 65.5%
Full-Stack
Top 57%
1,155Elo
Win rate: 60.2%
Mobile Apps
Top 43%
1,186Elo
Win rate: 60.7%
Web Apps
Top 64%
1,152Elo
Win rate: 55.1%

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-4.5",
    "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-4.5",
    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-4.5",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Anthropic: Claude Opus 4.5 API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Anthropic: Claude Opus 4.5 and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Create an accountBuy Claude API access, paid in rial

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FAQ

How much does Claude Opus 4.5 cost?
Billing is usage-based: $5 per million input tokens and $25 per million output tokens. There is no fixed monthly fee. You pay only for what you use.
How do I access Claude Opus 4.5 from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Claude Opus 4.5 compatible with OpenAI code?
Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Claude Opus 4.5 have?
It has a 200K-token context window, accepts text and image input, and supports tool calling and streaming, plus extended reasoning for harder problems. That makes it suitable for long documents, codebases and agentic workflows.
What is Claude Opus 4.5 good for?
Typical uses are complex software engineering, large-codebase refactors, multi-step debugging, long-running agent pipelines and demanding knowledge work.
How does Claude Opus 4.5 compare to other Claude models?
Claude comes in three tiers: Opus, Sonnet and Haiku. Opus is the highest-capability tier: the pick for the hardest reasoning, coding and long-horizon agent work.

Updated 2026-10-13