Anthropic: Claude Opus 5

Claude Opus 5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, released 2026-07. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks while remaining effective at lower effort settings for latency-sensitive workloads.

Modalities
inTextinImageinFileoutText
Price / 1M−73%
$1.35 / $6.75$5.00 / $25.00
Context
1M
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
Defaultstable
−19%
$4.05
$20.25
$0.41

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
Unit $1.35 / $6.75 /1MDaily chat: 40% cache hit assumed · cache read $0.13 /1M
List price $1507.20On 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
63.1
#1
Coding Index
Code
78.0
#1
Agentic Index
Agentic
59.2
#1
GPQA Diamond
Science QA
88.4
#15
τ-bench (airline)
Agentic tool use
80.4
#3

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.
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-5",
    messages=[{"role": "user", "content": "Hello"}],
)
Wire Claude Opus 5 into your product

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

Start free