Claude Opus 4.7
Claude Opus 4.7 expands context to 400k tokens and incorporates multi-agent reasoning verification, pushing frontier AI science and formal theorem proving.
400k
~300k words input
$12 / $60
Prompt / Completion per 1M
85.9 % 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: 1290 ms
Across 2,200 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- First model to exceed 91% on GPQA Diamond, demonstrating true post-graduate STEM acumen.
- 400,000-token native context window with rock-solid fact retrieval.
- Advanced chain-of-verification blocks reduce hallucinations to less than 0.5% in technical extraction.
Operational Considerations
- Requires large prompt token caches to minimize recurring context costs in long-horizon tasks.
Hardware & Execution Parameters
Genealogical Provenance
Context scaling and formal verification release of the Opus 4 architecture.
anthropic claude 4 6 opus 202602
Claude Opus 4.7
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
High-order attention layers with structured multi-agent verification sub-routines built directly into model weights.
Evaluation Profile & Reasoning Capabilities
Executes deep combinatorial search and self-consistency checking over mathematical proofs.
Inference Economics & Cost Optimization
$1.20 cache reads ensure multi-round agent interactions remain cost effective.
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
400k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
Claude Opus 4.7 vs Claude Opus 4.6
Compare Claude Opus 4.7 against Claude Opus 4.6's verified benchmarks, context window, and pricing.
Claude Opus 4.7 vs Claude Opus 4.8
Compare Claude Opus 4.7 against Claude Opus 4.8's verified benchmarks, context window, and pricing.
Claude Opus 4.7 vs Claude Opus 4
Compare Claude Opus 4.7 against Claude Opus 4's verified benchmarks, context window, and pricing.
Claude Opus 4.7 vs Claude Sonnet 4
Compare Claude Opus 4.7 against Claude Sonnet 4's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$12.00 / 1M
Standard prompt context ingestion
$60.00 / 1M
Generated completion & thinking tokens
$1.20 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$2,952.00
Includes prompt caching
-$648.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
Claude Opus 4.6
Claude Opus 4.6 is a February 2026 evolution delivering upgraded reasoning throughput, reduced API pricing ($12/$60), and enhanced native computer-use execution across complex desktop workflows.
Claude Opus 4.8
The peak culmination of Anthropic's Claude 4 architecture, featuring half-million-token context, 87.5% SWE-bench Verified, and lowered flagship pricing ($10/$50).
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-4-7-opus-20260416',
max_tokens: 4096,
messages: [{ role: 'user', content: 'Audit this cryptographic protocol for side-channel vulnerabilities.' }],
});
console.log(msg.content);Frequently Asked Questions about Claude Opus 4.7
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
Claude Opus 4.7 provides a 400,000-token context window with full multimodal support across images, PDFs, and code.