All Models
AnthropicReasoningProprietary Commercial APIReleased: 2025-08-14

Claude Opus 4.1

Claude Opus 4.1 introduces refined RL alignment, higher symbolic reasoning fidelity, and pruned test-time thinking paths for reduced latency on complex tasks.

Foundation DNA89/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

200k

~150k words input

Token Pricing

$15 / $75

Prompt / Completion per 1M

Top Benchmark

77.2 % 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:89/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 88/100 (Window Horizon)
ReasoningGPQA / Logic / Math
97/100
CodingSWE-bench / LCB
95/100
SpeedTokens / Second
66/100
EconomicsCost Efficiency
56/100
ContextWindow Horizon
88/100
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
77.2% resolved
swebench.harness
CodingAnthropic Claude 4.1 Update
GPQA Diamond Headline
85.8% pass@1
Inspect
Academic ReasoningAnthropic Claude 4.1 Update
Chatbot Arena Elo Headline
1448Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
97.9% pass@1
lm-eval-harness
MathematicsAnthropic Claude 4.1 Update
AIME 2024
89.2% pass@1
official_report
MathematicsAnthropic Claude 4.1 Update
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

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

Peak Generation Speed
52tokens/sec

Measured under concurrent production load

Lowest Time to First Token
580ms

p95 latency: 1540 ms

Telemetry Verification
99.9%uptime

Across 1,500 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

  • Reduced thinking token overhead by 18% while simultaneously increasing mathematical pass rates.
  • Significantly enhanced resistance to reasoning loops and cyclic code rewrites.
  • Native multi-lingual reasoning with improved translation and synthesis across 40+ languages.
Production Constraints

Operational Considerations

  • Premium tier token pricing ($15/$75 per 1M tokens) remains in effect.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window200,000 tokens
Max Output Tokens64,000 tokens
Supported Modalities
textimagepdf
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2025-06
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Mid-cycle post-training refinement focusing on reasoning trajectory efficiency.

Base Precursor

anthropic claude 4 opus 202505

Current Architecture

Claude Opus 4.1

anthropic claude 4 sonnet 202505
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Iterative alignment enhancement on the Claude Opus 4 base checkpoint using process-supervised reward models (PRMs).

Evaluation Profile & Reasoning Capabilities

Pruned chain-of-thought routing suppresses tangential reasoning paths, leading to faster solution convergence.

Inference Economics & Cost Optimization

Prompt caching supported with standard 90% read discount.

Primary Production Workloads & Suitability

Financial scenario simulation and quantitative model auditing
Algorithmic competitive programming
Biochemical pathway mapping and literature parsing
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

200k 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

$15.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$75.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.50 / 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

$3,690.00

Includes prompt caching

Monthly Cache Savings

-$810.00

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

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
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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
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
AnthropicSmall / On-Device

Claude Haiku 4.5

Claude Haiku 4.5 delivers lightning-fast inference and remarkable intelligence density, operating at sub-200ms latency for real-time customer workflows, classification, and content moderation.

Context:200k ctx
Parameters:Proprietary
Input Rate:$0.8/1M
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-4-1-opus-20250814',
  max_tokens: 4096,
  messages: [{ role: 'user', content: 'Analyze the algorithmic complexity of persistent treaps.' }],
});
console.log(msg.content);
Knowledge Base

Frequently Asked Questions about Claude Opus 4.1

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

Opus 4.1 features updated RL verifier models that reduce output latency by 18% while lifting benchmark scores on SWE-bench Verified from 75.8% to 77.2%.

Verified Engineering FAQ
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