---
title: "Claude Opus 4.6"
route_path: "/model/claude-opus-4-6"
canonical_url: "https://www.pipellm.ai/model/claude-opus-4-6"
markdown_path: "/llms/models/claude-opus-4-6.md"
markdown_url: "https://www.pipellm.ai/llms/models/claude-opus-4-6.md"
content_type: "model-detail-page"
description: "Machine-readable detail page for Claude Opus 4.6."
generated_at: "2026-03-27T06:53:30.752Z"
---
Canonical page: https://www.pipellm.ai/model/claude-opus-4-6
Markdown mirror: https://www.pipellm.ai/llms/models/claude-opus-4-6.md
Content type: model-detail-page
Generated at: 2026-03-27T06:53:30.752Z
# Claude Opus 4.6
## Query Intents
- Understand pricing, provider availability, context window, and capabilities for Claude Opus 4.6.
- Compare Claude Opus 4.6 against other models available through PipeLLM.
- Find the canonical model identifier to use in SDK or API requests.
## Overview
Claude Opus 4.6 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and reasoning benchmarks, and improved robustness to prompt injection. The model is designed to operate efficiently across varied effort levels, enabling developers to trade off speed, depth, and token usage depending on task requirements. It comes with a new parameter to control token efficiency, which can be accessed using the OpenRouter Verbosity parameter with low, medium, or high. Opus 4.5 supports advanced tool use, extended context management, and coordinated multi-agent setups, making it well-suited for autonomous research, debugging, multi-step planning, and spreadsheet/browser manipulation. It delivers substantial gains in structured reasoning, execution reliability, and alignment compared to prior Opus generations, while reducing token overhead and improving performance on long-running tasks.
## Model Metadata
- Display name: Claude Opus 4.6
- Model ID: claude-opus-4-6
- Provider family: Anthropic
- Release date: 2026-02-05T12:00:00.000Z
- Context window: 1000K
- Max output: 128K
- Input modalities: text, image
- Output modalities: text
- Tool use support: Yes
- Computer use support: Yes
- Cache control support: Yes
## Official Pricing (per 1M tokens)
| Metric | <=200K Context | >200K Context |
| --- | --- | --- |
| Input Price | $5 | $0 |
| Output Price | $25 | $0 |
| Cache Read | $0.5 | — |
| Cache Write | $6.25 | — |
| Image Input | $0 | — |
| Image Output | $0 | — |

## Provider Availability
| Provider | Region | Context Window | Max Output | Input Price | Output Price | Cache Read | Cache Write |
| --- | --- | --- | --- | --- | --- | --- | --- |
| AWS | — | 200K | 64K | $5 | $25 | $0.5 | $6.25 |