Anthropic: Claude Opus 4.7

Name: Claude Opus 4.7
Brand: Anthropic
Price: 1.35 USD
Availability: InStock

Claude Opus 4.7 is Anthropic's flagship model for long-running, asynchronous agent workflows, released 2026-04. Building on Opus 4.6, it improves multi-step task execution and reliability across extended sessions, from large codebases to end-to-end project orchestration. It also strengthens knowledge work like drafting, presentations, and data analysis, maintaining coherence over very long outputs.

Modalities

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Price / 1M−73%

$1.35 / $6.75~~$5.00 / $25.00~~

Context

Knowledge cutoff

—

Capabilities

ReasoningVisionTool useLong contextPrompt cachingStructured output

Channels

Same weights on every channel. Requests route to the cheapest healthy one; the channel used is printed on each billing line.

Provider

Discount

Input /M

Output /M

Cache Read /M

Cache Create 5m /M

Cache Create 1h /M

Codecheap

−73%

$1.35

$6.75

$0.13

$1.69

$2.70

Defaultstable

−19%

$4.05

$20.25

$0.41

$5.06

$8.10

Cost Calculator

Pick a channel and a usage scenario, then drag to your workload — each scenario assumes a different prompt-cache hit rate.

Channel

Scenario

Input tokens / request1,600Output tokens / request800Requests / month60,000

Unit $1.35 / $6.75 /1MDaily chat: 40% cache hit assumed · cache read $0.13 /1M

List price ~~$1507.20~~On MirAPI$406.94/ moYou save $1100.26Create an API key

Benchmarks

bar = score (0–100) · ▏ median

Scores from vendor reports and public leaderboards. No private evals.

Intelligence Index

General ability

55.0

#15

Coding Index

Code

73.6

#11

Agentic Index

Agentic

46.3

#18

GPQA Diamond

Science QA

89.2

#14

τ-bench (airline)

Agentic tool use

77.3

#11

Showcase

Three fixed prompts, identical for every chat model. Outputs are archived verbatim — copy the prompt to reproduce.

Task prompt · identical for all models

Build a single-file HTML page using three.js from a CDN: a low-poly planet with a tilted ring of ~200 orbiting particles, a soft key light plus rim light, slow auto-rotation, and drag-to-orbit controls. No build tools — one file only.

Run in Playground

Archived output

Archive not published yet

Every model will run this exact prompt; the output lands here verbatim, with tokens and per-run cost.

Quick Start

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mirapi.ai/v1",   # changed
    api_key=os.environ["MIRAPI_API_KEY"],   # changed
)

resp = client.chat.completions.create(
    model="anthropic/claude-opus-4.7",
    messages=[{"role": "user", "content": "Hello"}],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.mirapi.ai/v1",  // changed
  apiKey: process.env.MIRAPI_API_KEY,      // changed
});

const res = await client.chat.completions.create({
  model: "anthropic/claude-opus-4.7",
  messages: [{ role: "user", content: "Hello" }],
});

curl https://api.mirapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $MIRAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-opus-4.7",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# ~/.zshrc
export ANTHROPIC_BASE_URL="https://api.mirapi.ai"
export ANTHROPIC_AUTH_TOKEN="$MIRAPI_API_KEY"

# start as usual — model names unchanged
claude --model anthropic/claude-opus-4.7

# ~/.codex/config.toml
model_provider = "mirapi"
model = "anthropic/claude-opus-4.7"

[model_providers.mirapi]
name = "MirAPI"
base_url = "https://api.mirapi.ai/v1"
env_key = "MIRAPI_API_KEY"
wire_api = "responses"

Links

anthropic.com www.mirapi.ai

Wire Claude Opus 4.7 into your product

1M free tokens to start · no card · OpenAI-compatible, one base_url change

Start free