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AnthropicReasoningProprietary Commercial APIReleased: 2026-02-12

Claude Opus 4.6

Claude Opus 4.6 is a February 2026 evolution delivering upgraded reasoning throughput, reduced API pricing ($12/$60), and enhanced native computer-use execution across complex desktop workflows.

Foundation DNA93/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

300k

~225k words input

Token Pricing

$12 / $60

Prompt / Completion per 1M

Top Benchmark

84.1 % resolved

SWE-bench Verified

Hardware Tier

Cloud Managed

Zero local VRAM

6-Axis Foundation Model DNA

Holistic Capability Distribution

Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.

Overall Index:93/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 94/100 (Window Horizon)
ReasoningGPQA / Logic / Math
98/100
CodingSWE-bench / LCB
96/100
SpeedTokens / Second
72/100
EconomicsCost Efficiency
64/100
ContextWindow Horizon
94/100
FlexibilityTool Use & Open
95/100
Performance Evaluations

Verified LLM Benchmarks

Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.

SWE-bench Verified Headline
84.1% resolved
swebench.harness
CodingAnthropic Claude 4.6 Release
GPQA Diamond Headline
89.5% pass@1
Inspect
Academic ReasoningAnthropic Claude 4.6 Release
Chatbot Arena Elo Headline
1490Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
98.9% pass@1
lm-eval-harness
MathematicsAnthropic Claude 4.6 Release
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).

Peak Generation Speed
62tokens/sec

Measured under concurrent production load

Lowest Time to First Token
480ms

p95 latency: 1320 ms

Telemetry Verification
99.9%uptime

Across 2,100 monitored requests

Production Trade-Offs

Architectural Strengths vs. Operational Considerations

An objective technical balance sheet analyzing deployment advantages and production constraints.

Operational Advantages

Key Architectural Strengths

  • 20% price reduction down to $12/$60 per 1M tokens for flagship-grade intelligence.
  • Upgraded Computer Use capability with direct OS GUI navigation and terminal action synthesis.
  • 84.1% on SWE-bench Verified with zero flaky test regressions.
Production Constraints

Operational Considerations

  • High context streaming requires persistent websocket / SSE connections for smooth UI response.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window300,000 tokens
Max Output Tokens64,000 tokens
Supported Modalities
textimagepdf
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2025-12
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Efficiency and computer-use milestone in the Claude 4 line.

Base Precursor

anthropic claude 4 5 opus 202511

Current Architecture

Claude Opus 4.6

anthropic claude 4 6 sonnet 202602
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Fine-grained Mixture-of-Depths gating applied to transformer feedforward blocks for lower latency during high-reasoning passes.

Evaluation Profile & Reasoning Capabilities

Direct visual reasoning over operating system windows, GUI forms, and browser DOM elements.

Inference Economics & Cost Optimization

Lowered base token fees combined with aggressive batch caching discounts.

Primary Production Workloads & Suitability

Autonomous computer and desktop workflow execution
Complex financial audits and compliance checking
Multi-modal technical system debugging
Compute & Deployment Architecture

Cloud Deployment Architecture & Hardware Sizing

Cloud Deployment Architecture

Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.

Cloud APIZero Local VRAM Required

Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.

SLA: 99.9% Cloud Availability
Rate Limit: Scaled via Provider Quota
Cache: Automatic Prefix Compression
Serving Model

Multi-Tenant Cloud API

Continuous autoscaling with regional failover

Hardware Overhead

0 GB Local VRAM

Inference executed on hyperscaler accelerator clusters

Context Capacity

300k tokens

Supported with automated KV cache prefix compression

SDK Installation

$npm install @anthropic-ai/sdk
$pip install anthropic
Inference Economics & Total Cost of Ownership

Commercial Token Rates & Cost Estimator

Base Input Tokens

$12.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$60.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.20 / 1M

Re-used prompt prefix context

Monthly Production Cost Simulator

Daily Prompt Ingestion5M tokens/day (~150M/mo)
Daily Completion Generation1M tokens/day (~30M/mo)
Prompt Prefix Cache Hit Rate40%
Estimated Monthly Spend

$2,952.00

Includes prompt caching

Monthly Cache Savings

-$648.00

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.

AnthropicReasoning

Claude Opus 4.5

Anthropic's late-2025 flagship reasoning foundation model with expanded 300,000-token context, 82.6% on SWE-bench Verified, and breakthrough formal mathematical synthesis.

Context:300k ctx
Parameters:Proprietary
Input Rate:$15/1M
Compare Architecture
AnthropicCode

Claude Sonnet 4.6

Claude Sonnet 4.6 delivers 300k context window, 83.2% SWE-bench Verified score, and reduced $2.50/$12.50 token economics for large-scale enterprise software agent automation.

Context:300k ctx
Parameters:Proprietary
Input Rate:$2.5/1M
Compare Architecture
AnthropicReasoning

Claude Opus 4

Claude Opus 4 is Anthropic's flagship frontier reasoning model for the Claude 4 generation, featuring an advanced hybrid test-time reasoning engine, 200k context window, and breakthrough scores on graduate-level STEM and multi-step deduction.

Context:200k ctx
Parameters:Proprietary
Input Rate:$15/1M
Compare Architecture
AnthropicCode

Claude Sonnet 4

Claude Sonnet 4 is Anthropic's premier balanced engineering model for the Claude 4 generation, engineered for rapid autonomous coding agents, multi-step tool execution, and cost-effective enterprise workflows.

Context:200k ctx
Parameters:Proprietary
Input Rate:$3/1M
Compare Architecture
Developer Quickstart

SDK Installation & API Integration

$npm install @anthropic-ai/sdk
$pip install anthropic
import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic();
const msg = await anthropic.messages.create({
  model: 'claude-4-6-opus-20260212',
  max_tokens: 4096,
  messages: [{ role: 'user', content: 'Generate a distributed consensus verification script.' }],
});
console.log(msg.content);
Knowledge Base

Frequently Asked Questions about Claude Opus 4.6

Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.

Yes, Claude Opus 4.6 natively features Anthropic Computer Use v2, enabling agents to view screens, type, move mouse pointers, and interact with complex web applications.

Verified Engineering FAQ
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