Anthropic: Claude Opus 4.6

Image input Text input Text output
Author's Description

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations. Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution. For users upgrading from earlier Opus versions, see our [official migration guide here](https://openrouter.ai/docs/guides/guides/model-migrations/claude-4-6-opus)

Key Specifications
Cost
+$$$$$
Context
1M
Released
Feb 04, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Response Format Tools Reasoning Top P Max Tokens Include Reasoning Structured Outputs Tool Choice Stop Temperature
Features

This model supports the following features:

Reasoning Tools Structured Outputs Response Format
Performance Summary

Anthropic's Claude Opus 4.6 demonstrates moderate speed performance, ranking in the 36th percentile across benchmarks, and is positioned at premium pricing levels, placing it in the 7th percentile for cost. A standout feature is its exceptional reliability, achieving a 100% success rate across all evaluated benchmarks, indicating consistent and dependable operation. Opus 4.6 excels particularly in specialized domains, showcasing strong performance in Coding (95.0% accuracy, 92nd percentile), Mathematics (95.0% accuracy, 89th percentile), and Reasoning (94.0% accuracy, 84th percentile). Its instruction following capabilities are also robust (75.0% accuracy, 84th percentile). The model exhibits near-perfect General Knowledge (99.5% accuracy, 71st percentile) and an impressive ability to avoid hallucinations (98.0% accuracy, 67th percentile). Notably, it achieved perfect accuracy in Ethics (100%), making it the most accurate model at its price point and among models of similar speed in this category. While its Email Classification accuracy (97.0%, 42nd percentile) is solid, it is not as comparatively strong as its other high-performing areas. Overall, Opus 4.6 is a highly reliable and capable model, particularly suited for complex technical and knowledge-intensive tasks, despite its premium cost and moderate speed.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $5
Completion $25
Input Cache Read $0.5
Input Cache Write $6.25
Web Search $10000

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Anthropic
Anthropic | anthropic/claude-4.6-opus-20260205 1M $5 / 1M tokens $25 / 1M tokens
Amazon Bedrock
Amazon Bedrock | anthropic/claude-4.6-opus-20260205 1M $5 / 1M tokens $25 / 1M tokens
Google
Google | anthropic/claude-4.6-opus-20260205 1M $5 / 1M tokens $25 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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