Claude Opus 4.8 (batch)

by Anthropic

anthropic/claude-opus-4.8:batch
Input
$3.50/1M tokens
Output
$17.50/1M tokens
Context
1Mtokens
Max output
128Ktokens
Knows to
-
Released
27 May 2026

About

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family.

Pricing

Input$3.50per 1M prompt tokens
Output$17.50per 1M generated tokens, reasoning included
Cached input$0.35per 1M tokens read back from the prompt cache
Cache write$4.38per 1M tokens written to the prompt cache
Web search$0.014per request that uses the provider’s built-in search

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.012$12.25
Question over a long document40,000 in · 800 out$0.154$154.00
Agent tool step20,000 in · 1,200 out$0.091$91.00

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

Intelligence41.8#38 of 285
Coding74.3#27 of 163
Agentic41.9#36 of 127

Head-to-head rankings

  1. #1SlidesAgent arenaElo 129465% wins
  2. #4Game devAgent arenaElo 123856% wins
  3. #7ASCII artModel arenaElo 128062% wins
  4. #8Android appsAgent arenaElo 124756% wins
  5. #8Full stackAgent arenaElo 124955% wins
  6. #9Mobile appsAgent arenaElo 122056% wins
  7. #10Godot gamesAgent arenaElo 123156% wins
  8. #12Web appsAgent arenaElo 122551% wins
  9. #29SVGModel arenaElo 119251% wins
  10. #30Game devModel arenaElo 126553% 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-4.8:batch",
    "messages": [{ "role": "user", "content": "Hello" }],
    "reasoning": { "effort": "medium" }
  }'
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-4.8:batch",
    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-4.8:batch",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatstopstructured_outputstool_choicetoolsverbosity

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 16 Oct 2026, rebuilt daily from the providers’ live catalogues. ← All models