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.
200k
~150k words input
$15 / $75
Prompt / Completion per 1M
75.8 % 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: 1650 ms
Across 1,200 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Unrivaled frontier reasoning depth for intricate multi-step proofs, academic analysis, and mission-critical code synthesis.
- Refined test-time compute scaling enabling extended chain-of-thought exploration up to 64,000 output tokens.
- Native multimodal integration with pixel-accurate diagram parsing and technical document comprehension.
- Robust safety and steerability alignment with exceptionally low refusal rates on benign high-complexity tasks.
Operational Considerations
- Premium compute tier pricing ($15 / $75 per 1M tokens) makes it best suited for high-value reasoning rather than bulk simple text.
- End-to-end latency is higher during deep thinking loops compared to Sonnet or Haiku.
Hardware & Execution Parameters
Genealogical Provenance
Frontier reasoning anchor for the Claude 4 generation, scaling reinforcement learning with automated verifiers.
anthropic claude 3 7 sonnet 20250219
Claude Opus 4
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Claude Opus 4 utilizes a dense transformer architecture coupled with Anthropic's test-time compute engine, allowing dynamic expansion of internal thinking tokens prior to user response synthesis.
Evaluation Profile & Reasoning Capabilities
Employs self-critique, branch-and-bound verification, and backtracking during complex mathematical and software engineering reasoning steps.
Inference Economics & Cost Optimization
Features prompt prefix caching ($1.50/1M token read) and a 50% discount on asynchronous Batch API processing.
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
200k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
Claude Opus 4 vs Claude Sonnet 4
Compare Claude Opus 4 against Claude Sonnet 4's verified benchmarks, context window, and pricing.
Claude Opus 4 vs GPT-4o
Compare Claude Opus 4 against GPT-4o's verified benchmarks, context window, and pricing.
Claude Opus 4 vs Claude Sonnet 3.7
Compare Claude Opus 4 against Claude Sonnet 3.7's verified benchmarks, context window, and pricing.
Claude Opus 4 vs DeepSeek R1
Compare Claude Opus 4 against DeepSeek R1'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
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.
GPT-4o
OpenAI's flagship omni model natively processing text, audio, and vision with low-latency multimodal reasoning and a 128,000 token context window.
Claude Sonnet 3.7
Claude Sonnet 3.7 is a hybrid reasoning and code model from Anthropic with a 200,000-token context window, supporting text, image, and PDF modalities with dynamic test-time compute control.
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.
SDK Installation & API Integration
import Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY,
});
const response = await anthropic.messages.create({
model: 'claude-4-opus-20250515',
max_tokens: 4096,
thinking: {
type: 'enabled',
budget_tokens: 2048,
},
messages: [
{ role: 'user', content: 'Prove the convergence of the Adam optimizer in non-convex settings.' }
],
});
console.log(response.content);Frequently Asked Questions about Claude Opus 4
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
Claude Opus 4 supports a 200,000-token context window with up to 64,000 max output tokens when extended thinking is enabled.
Static prompt prefixes cached for over 5 minutes receive up to a 90% discount on input tokens ($1.50/1M tokens read).