About
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use.
Pricing
| Input | $7.00 | per 1M prompt tokens |
|---|---|---|
| Output | $35.00 | per 1M generated tokens, reasoning included |
| Cached input | $0.70 | per 1M tokens read back from the prompt cache |
| Cache write | $8.75 | per 1M tokens written to the prompt cache |
| Web search | $0.014 | per request that uses the provider’s built-in search |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.025 | $24.50 |
| Question over a long document40,000 in · 800 out | $0.308 | $308.00 |
| Agent tool step20,000 in · 1,200 out | $0.182 | $182.00 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #17Android appsAgent arenaElo 119166% wins
- #19Mobile appsAgent arenaElo 118661% wins
- #24Full stackAgent arenaElo 115660% wins
- #27Web appsAgent arenaElo 115355% wins
- #28ASCII artModel arenaElo 119355% wins
- #33SVGModel arenaElo 118059% wins
- #36Data vizModel arenaElo 124459% wins
- #40Game devModel arenaElo 123259% wins
- #433DModel arenaElo 121459% wins
- #43CodeModel arenaElo 124460% wins
Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
cURL
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-opus-4.5",
"messages": [{ "role": "user", "content": "Hello" }]
}'Python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="anthropic/claude-opus-4.5",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "anthropic/claude-opus-4.5",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);Parameters this model accepts
include_reasoningmax_completion_tokensmax_tokensreasoningresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_kverbosity