Claude Opus 4.7

AnthropicMCP Tool CallReasoning

anthropic/claude-opus-4-7Closed API

Stronger Opus tier for advanced software work and high-stakes reasoning

Benchmark Pricing$5.00 / 1M in$25.00 / 1M out$0.50 cache read

Context: 1,000,000 tokens•Max Output: 128,000 tokens•Knowledge: 2026-01-31•Released: 2026-04-16

TECHNICAL SPECIFICATIONS

Context Window1,000,0001M tokens

Max Output128,000128K tokens

LicenseProprietaryCloud API only

Input Modalities

TextVisionPDF

Function / Tool CallingSupported (MCP Ready)

Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ Claude Opus 4.7 natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 1,000,000 tokens, this model can handle extremely large MCP resource manifests, complete database schemas, and multiple active server tool definitions simultaneously without degradation.

STANDARDIZED BENCHMARKS & EVALS

SWE-Bench Proresolve rate

64.3

Terminal-Benchsuccess rate

66.1

SWE-Atlas Refactoringscore

48.57

Artificial Analysis Coding Agent Indexaverage pass@1

66.6

SWE-Atlas Codebase QnApass@1

SWE-Bench Propass@1

44.9

Terminal-Benchpass@1

73.8

Artificial Analysis Coding Agent Indexaverage pass@1

61.2

SWE-Atlas Codebase QnApass@1

78.4

SWE-Bench Propass@1

34.4

Terminal-Benchpass@1

70.6

Artificial Analysis Coding Agent Indexaverage pass@1

59.9

SWE-Atlas Codebase QnApass@1

71.7

SWE-Bench Propass@1

36.4

Terminal-Benchpass@1

71.4

GPQA Diamondaccuracy

94.2

Humanity's Last Examaccuracy

46.9

Humanity's Last Examaccuracy

54.7

OSWorld-Verifiedsuccess rate

API CALL INVOCATION EXAMPLE

// Example: Calling Claude Opus 4.7 via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ANTHROPIC_API_KEY,
});

const response = await client.chat.completions.create({
  model: "anthropic/claude-opus-4-7",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);