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.
300k
~225k words input
$15 / $75
Prompt / Completion per 1M
82.6 % resolved
SWE-bench Verified
Cloud Managed
Zero local VRAM
Holistic Capability Distribution
Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.
Verified LLM Benchmarks
Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.
Inference Latency & Generation Throughput
Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).
Measured under concurrent production load
p95 latency: 1480 ms
Across 1,800 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Unprecedented 87.9% score on GPQA Diamond, approaching human expert benchmark performance.
- Expansive 300k token context window with reliable factual recall across all document depths.
- Self-correcting verification loops catch nuanced logical errors before generating terminal tokens.
Operational Considerations
- High compute requirements require prompt caching strategies for cost efficiency.
Hardware & Execution Parameters
Genealogical Provenance
Late 2025 flagship establishing new frontier marks in theorem proving and agentic coding.
anthropic claude 4 1 opus 202508
Claude Opus 4.5
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Anthropic's dense hybrid reasoning architecture scaled with deep reinforcement learning over extensive verifiable test environments.
Evaluation Profile & Reasoning Capabilities
Combines tree-search exploration with calibrated self-verification heuristics across math, law, and engineering.
Inference Economics & Cost Optimization
Offers 50% discount on batch asynchronous calls and $1.50 prompt cache reads.
Primary Production Workloads & Suitability
Cloud Deployment Architecture & Hardware Sizing
Cloud Deployment Architecture
Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.
Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.
Multi-Tenant Cloud API
Continuous autoscaling with regional failover
0 GB Local VRAM
Inference executed on hyperscaler accelerator clusters
300k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
Claude Opus 4.5 vs Claude Sonnet 4.5
Compare Claude Opus 4.5 against Claude Sonnet 4.5's verified benchmarks, context window, and pricing.
Claude Opus 4.5 vs DeepSeek R1
Compare Claude Opus 4.5 against DeepSeek R1's verified benchmarks, context window, and pricing.
Claude Opus 4.5 vs Claude Opus 4
Compare Claude Opus 4.5 against Claude Opus 4's verified benchmarks, context window, and pricing.
Claude Opus 4.5 vs Claude Sonnet 4
Compare Claude Opus 4.5 against Claude Sonnet 4's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$15.00 / 1M
Standard prompt context ingestion
$75.00 / 1M
Generated completion & thinking tokens
$1.50 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$3,690.00
Includes prompt caching
-$810.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
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.
DeepSeek R1
DeepSeek-R1 is an open-weights frontier reasoning model trained via large-scale reinforcement learning without supervised cold-start, featuring a 671B parameter Mixture-of-Experts architecture with 37B active parameters.
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.
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.
SDK Installation & API Integration
import Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic();
const msg = await anthropic.messages.create({
model: 'claude-4-5-opus-20251120',
max_tokens: 4096,
thinking: { type: 'enabled', budget_tokens: 4096 },
messages: [{ role: 'user', content: 'Construct an axiomatic derivation of quantum error correction codes.' }],
});
console.log(msg.content);Frequently Asked Questions about Claude Opus 4.5
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
Claude Opus 4.5 natively processes 300,000 tokens with 100% recall accuracy on needle-in-a-haystack evaluations, enabling comprehensive book and codebase analysis.