All Models
AnthropicCodeProprietary Commercial APIReleased: 2026-09-24

Claude Sonnet 5.5

Enterprise software development benchmark with native 1-million-token context, dynamic sub-agent spawning, and 90.5% SWE-bench Verified precision.

Foundation DNA96/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

1,000k

~750k words input

Token Pricing

$3 / $15

Prompt / Completion per 1M

Top Benchmark

90.5 % 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:96/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 100/100 (Window Horizon)
ReasoningGPQA / Logic / Math
97/100
CodingSWE-bench / LCB
100/100
SpeedTokens / Second
87/100
EconomicsCost Efficiency
88/100
ContextWindow Horizon
100/100
FlexibilityTool Use & Open
96/100
Performance Evaluations

Verified LLM Benchmarks

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

SWE-bench Verified Headline
90.5% resolved
swebench.harness
CodingAnthropic Claude 5.5 Release
GPQA Diamond Headline
91.4% pass@1
Inspect
Academic ReasoningAnthropic Claude 5.5 Release
Chatbot Arena Elo Headline
1535Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
99.1% pass@1
lm-eval-harness
MathematicsAnthropic Claude 5.5 Release
Berkeley Function Calling (BFCL v3) Headline
96.8% 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
95tokens/sec

Measured under concurrent production load

Lowest Time to First Token
320ms

p95 latency: 880 ms

Telemetry Verification
99.98%uptime

Across 4,800 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

  • Scores 90.5% on SWE-bench Verified, delivering true superhuman software development throughput.
  • 1-million-token context allows feeding entire multi-language repositories into a single thread.
  • Groundbreaking $3 / $15 token pricing with $0.30 cache read rates.
Production Constraints

Operational Considerations

  • Prompt caching must be configured to take full advantage of 1M context efficiency.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window1,000,000 tokens
Max Output Tokens96,000 tokens
Supported Modalities
textimagepdf
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2026-07
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Superhuman coding workhorse with 1M context and 90.5% SWE-bench resolution.

Base Precursor

anthropic claude 5 sonnet 202606

Current Architecture

Claude Sonnet 5.5

anthropic claude 5 5 opus 202609anthropic claude 5 5 haiku 202610
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Engineered specifically for autonomous multi-agent developer workflows with low-latency memory persistence.

Evaluation Profile & Reasoning Capabilities

Natively generates compiler-verified code diffs, resolves complex cross-repo dependencies, and handles live debug runs.

Inference Economics & Cost Optimization

Unmatched coding ROI: $0.30 cache reads make 1M token monorepos economical for everyday development.

Primary Production Workloads & Suitability

Autonomous multi-day engineering agents (Claude Code, Cline, Cursor, Devin)
Automated continuous software maintenance and security patch deployment
Full-stack web and mobile application synthesis from design specs
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

1,000k 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

$3.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$15.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$0.30 / 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

$738.00

Includes prompt caching

Monthly Cache Savings

-$162.00

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 5

Next-generation software engineering flagship featuring 500k context, zero-latency thinking switching, and native autonomous multi-agent repository orchestration.

Context:500k ctx
Parameters:Proprietary
Input Rate:$3/1M
Compare Architecture
AnthropicReasoning

Claude Opus 5.5

The frontier reasoning summit from Anthropic featuring a native 1-million-token context window, 92%+ SWE-bench Verified resolution, and hierarchical multi-agent verification.

Context:1,000k ctx
Parameters:Proprietary
Input Rate:$10/1M
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-5-5-sonnet-20260924',
  max_tokens: 8192,
  messages: [{ role: 'user', content: 'Generate complete integration tests for our distributed payments microservice.' }],
});
console.log(msg.content);
Knowledge Base

Frequently Asked Questions about Claude Sonnet 5.5

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

Yes, with 1,000,000 tokens of context, developers can ingest 750k+ lines of source code in a single prompt.

Verified Engineering FAQ
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