All Models
AnthropicCodeProprietary Commercial APIReleased: 2026-02-26

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.

Foundation DNA92/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

300k

~225k words input

Token Pricing

$2.5 / $12.5

Prompt / Completion per 1M

Top Benchmark

83.2 % 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:92/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 94/100 (Window Horizon)
ReasoningGPQA / Logic / Math
95/100
CodingSWE-bench / LCB
98/100
SpeedTokens / Second
83/100
EconomicsCost Efficiency
88/100
ContextWindow Horizon
94/100
FlexibilityTool Use & Open
93/100
Performance Evaluations

Verified LLM Benchmarks

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

SWE-bench Verified Headline
83.2% resolved
swebench.harness
CodingAnthropic Claude 4.6 Release
GPQA Diamond Headline
86.2% pass@1
Inspect
Academic ReasoningAnthropic Claude 4.6 Release
Chatbot Arena Elo Headline
1470Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
Berkeley Function Calling (BFCL v3) Headline
94.2% AST match
BFCL-eval
Agentic ExecutionBerkeley Function Calling Leaderboard v3
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

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

Peak Generation Speed
88tokens/sec

Measured under concurrent production load

Lowest Time to First Token
360ms

p95 latency: 980 ms

Telemetry Verification
99.95%uptime

Across 3,600 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

  • Lower price tier ($2.50/$12.50) enables continuous automated background engineering loops.
  • Industry-leading 94.2% function calling precision with nested schema validation.
  • 83.2% resolution rate across thousands of verified GitHub repositories.
Production Constraints

Operational Considerations

  • Deep novel mathematical theorem proving remains best matched with Opus models.
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

Upgraded engineering model with lower price and improved tool syntax execution.

Base Precursor

anthropic claude 4 5 sonnet 202509

Current Architecture

Claude Sonnet 4.6

anthropic claude 4 6 opus 202602
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Optimized attention cache routing allowing sustained low latency across 300k token sessions.

Evaluation Profile & Reasoning Capabilities

Specialized in AST-level diff computation, automated git branching, and multi-file unit testing.

Inference Economics & Cost Optimization

$0.25 prompt cache reads deliver unprecedented cost efficiency for active developer environments.

Primary Production Workloads & Suitability

Autonomous software development teams (Devin, Cursor, Claude Code)
API schema synthesis and contract testing
Legacy system code modernization
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

$2.50 / 1M

Standard prompt context ingestion

Base Output Tokens

$12.50 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$0.25 / 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

$615.00

Includes prompt caching

Monthly Cache Savings

-$135.00

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

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

AnthropicCode

Claude Sonnet 4.5

Claude Sonnet 4.5 establishes a new frontier standard in autonomous software engineering with 80%+ SWE-bench Verified resolution, expanded 250k context, and optimized test-time execution.

Context:250k ctx
Parameters:Proprietary
Input Rate:$3/1M
Compare Architecture
AnthropicReasoning

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.

Context:300k ctx
Parameters:Proprietary
Input Rate:$12/1M
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-sonnet-20260226',
  max_tokens: 4096,
  messages: [{ role: 'user', content: 'Migrate this Next.js app to the latest React Server Components architecture.' }],
});
console.log(msg.content);
Knowledge Base

Frequently Asked Questions about Claude Sonnet 4.6

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

Sonnet 4.6 costs $2.50 per 1M input tokens and $12.50 per 1M output tokens, with cache read tokens discounted to $0.25/1M.

Verified Engineering FAQ
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