Home/Models/Claude Opus 4.7
AnthropicAnthropic
Coding1M tokens

Claude Opus 4.7

API Model ID:claude-opus-4.7

Sovereign engineering intelligence designed for multi-agent architecture refactoring.

#1M Context#Distributed Systems#Multi-Agent#Refactoring#Tools
Context Window1M tokens1,000,000 tokens
Max Output64K tokens64,000 tokens
Input Price$14.00per 1M input tokens
Output Price$70.00per 1M output tokens
Latency / Speed~220ms80 tokens/sec

Overview & Architecture

Claude Opus 4.7 is engineered specifically for autonomous software architecture and multi-repository codebases. With a 1-million-token context window and sophisticated mental mapping of distributed systems, Opus 4.7 can trace microservice dependencies, plan zero-downtime refactors, and coordinate subordinate coding agents.

ArchitectureScaled Deliberative Transformer with Native AST Graph Representations
Knowledge IndexCurrent (Continuously Indexed)

Benchmark Highlights

SWE-bench Verified72.4%

End-to-end repository bug fixing

HumanEval Plus95.1%

Rigorous synthetic edge-case tests

RepoBench89.6%

Cross-file context and dependency resolution

Supported Capabilities

Function Calling / Tools
Supported
Vision & Image Inputs
Supported
Audio & Voice Inputs
No
Structured JSON Mode
Supported
System Prompts
Supported
Streaming Completions
Supported
Prompt Caching
Supported

Engineering Strengths

  • State-of-the-art multi-file code editing and architecture refactoring
  • Flawless semantic understanding of complex monorepos and type systems
  • Reliable planning and supervision for multi-agent execution graphs
  • Native prompt caching for massive reduction in iterative session costs

Recommended Production Workloads

  • Autonomous coding agents and lead developer copilots
  • Enterprise migration projects (e.g. legacy modernization to modern frameworks)
  • Distributed systems vulnerability discovery and remediation

Execute via Gruvo

Unified Endpoint

Connect through Gruvo with OpenAI-compatible client libraries. Gruvo translates requests, manages provider streaming, and applies caching automatically.

import OpenAI from "openai";

// Configure client with Gruvo's unified AI gateway
const gruvo = new OpenAI({
  baseURL: "https://api.gruvo.ai/v1",
  apiKey: process.env.GRUVO_API_KEY,
  defaultHeaders: {
    "X-Gruvo-Provider": "anthropic",
  },
});

const completion = await gruvo.chat.completions.create({
  model: "claude-opus-4.7",
  messages: [
    { role: "system", content: "You are a production reasoning assistant." },
    { role: "user", content: "Analyze the architecture of our service." },
  ],
  temperature: 0.2,
});

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

Automatic Failover & Routing

If Anthropic suffers an unexpected outage or rate limit (HTTP 429), Gruvo can automatically route in-flight requests to equivalent tier models:

Gruvo Execution Layer

  • Real-time per-token latency and error observability
  • Unified spend tracking and budget caps
  • Bring your own provider API keys or use pooled keys
Start Free on Gruvo