All Models
AnthropicReasoningProprietary Commercial APIReleased: 2026-09-10

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.

Foundation DNA98/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

1,000k

~750k words input

Token Pricing

$10 / $50

Prompt / Completion per 1M

Top Benchmark

92.1 % 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:98/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 100/100 (Window Horizon)
ReasoningGPQA / Logic / Math
100/100
CodingSWE-bench / LCB
99/100
SpeedTokens / Second
78/100
EconomicsCost Efficiency
72/100
ContextWindow Horizon
100/100
FlexibilityTool Use & Open
99/100
Performance Evaluations

Verified LLM Benchmarks

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

SWE-bench Verified Headline
92.1% resolved
swebench.harness
CodingAnthropic Claude 5.5 Release
GPQA Diamond Headline
95.8% pass@1
Inspect
Academic ReasoningAnthropic Claude 5.5 Release
Chatbot Arena Elo Headline
1575Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
99.8% pass@1
lm-eval-harness
MathematicsAnthropic Claude 5.5 Release
AIME 2024
98.2% pass@1
official_report
MathematicsAnthropic Claude 5.5 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
74tokens/sec

Measured under concurrent production load

Lowest Time to First Token
410ms

p95 latency: 1140 ms

Telemetry Verification
99.98%uptime

Across 3,800 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

  • First model in AI history to break 92% on SWE-bench Verified and 95% on GPQA Diamond.
  • Full 1,000,000-token context window with perfect factual fidelity and needle retrieval.
  • Native multi-agent self-orchestration enables autonomous execution over weeks of developer workload.
Production Constraints

Operational Considerations

  • 1M token context requires active prompt cache management to control API costs.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window1,000,000 tokens
Max Output Tokens128,000 tokens
Supported Modalities
textimageaudiovideopdf
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2026-07
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Pinnacle reasoning model of the Claude 5 family with 1-million-token native context.

Base Precursor

anthropic claude 5 opus 202607

Current Architecture

Claude Opus 5.5

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

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Next-gen hybrid sparse-dense architecture scaling test-time compute across 1M context with constant memory footprint per layer.

Evaluation Profile & Reasoning Capabilities

Hierarchical sub-agents spawned within the reasoning budget to debate, verify, and falsify proposed conclusions.

Inference Economics & Cost Optimization

$10 / $50 per 1M tokens with prompt caching read discounts.

Primary Production Workloads & Suitability

Fully autonomous enterprise engineering and systems architecture
Novel scientific theorem discovery and drug interaction synthesis
Comprehensive regulatory, tax, and legal jurisdiction reconciliation
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

$10.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$50.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.00 / 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

$2,460.00

Includes prompt caching

Monthly Cache Savings

-$540.00

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 5

Anthropic's fifth-generation intelligence flagship, bringing full omni-modal audio/video/image capabilities, 500k context, and deep multi-hop self-critique reasoning.

Context:500k ctx
Parameters:Proprietary
Input Rate:$10/1M
Compare Architecture
AnthropicCode

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.

Context:1,000k ctx
Parameters:Proprietary
Input Rate:$3/1M
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-opus-20260910',
  max_tokens: 16384,
  messages: [{ role: 'user', content: 'Synthesize the unified architecture for an autonomous spacecraft navigation system.' }],
});
console.log(msg.content);
Knowledge Base

Frequently Asked Questions about Claude Opus 5.5

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

Claude Opus 5.5 supports 1,000,000 tokens of context, equivalent to roughly 750,000 words or 2,500 pages of text.

Verified Engineering FAQ
Machinoai Logo
Machinoai

Your edge in the AI era. Deep dives into machine learning concepts, paper explainers, verified industry jobs, and developer tools.

© 2026 Machinoai. All rights reserved.