Claude Opus 4.7

Name: Claude Opus 4.7
Author: Anthropic

Claudev4.7Current

Anthropic(ai lab)

Released April 16, 2026

Run this model yourself API Docs Playground

Context1M tokens

Price (In / Out)$5.00/M / $25.00/M

CategoryMultimodal LLM

Max Output128K tokens

About Claude Opus 4.7

Claude Opus 4.7 is Anthropic's most capable generally available model, with significant improvements in advanced software engineering, agentic tool use, and vision resolution. Achieves 87.6% on SWE-bench Verified and 94.2% on GPQA Diamond. Supports up to 1,000,000 token context window with 3.3x higher-resolution vision than Opus 4.6.

Capabilities

textvisioncodetool use

Input Modalities

textimage

Output Modalities

text

Technical Details

API Identifier: anthropic/claude-opus-4.7
Category: Multimodal LLM
Context Window: 1,000,000 tokens
Max Output Tokens: 128,000 tokens

Run this model yourself

Local and cloud setup for Claude Opus 4.7, with exact configurations, sources and clear evidence limits.

Find a model for your hardware

No reviewed setup guide is available for this model yet. Explore configurations with documented support in the hardware finder.

Benchmarks

Performance scores for Claude Opus 4.7 across standard benchmarks.

MMLUAnthropic · Apr 2026

84.7

MMLU-ProAnthropic · Apr 2026

78.1

MMMLUAnthropic · Apr 2026

GPQA DiamondAnthropic · Apr 2026

94.2

HLEArtificial Analysis · Apr 2026

54.7

SWE-bench VerifiedAnthropic · Apr 2026

87.6

SWE-bench ProAnthropic · Apr 2026

64.3

SWE-bench Multilingual+MultimodalAnthropic · Apr 2026

80.5

Terminal-BenchAnthropic · Apr 2026

69.4

MCP-AtlasAnthropic · Apr 2026

77.3

Berkeley Function CallingAnthropic · Apr 2026

77.3

OSWorld-VerifiedAnthropic · Apr 2026

BrowseCompAnthropic · Apr 2026

79.3

CharXiv-RAnthropic · Apr 2026

DocVQAAnthropic · Apr 2026

93.1

CyberGymAnthropic · Apr 2026

73.1

GDPVal-AA EloArtificial Analysis · Apr 2026

1753

GPQA DiamondArtificial Analysis

91.4%

Terminal-Bench 2.1Artificial Analysis

83.1%

Pricing

Token pricing for Claude Opus 4.7 API usage.

Input Tokens

$5.00/M

per million tokens

Output Tokens

$25.00/M

per million tokens

Cache read: $0.5000/M tokens

Anthropicai lab

Building reliable, interpretable, and steerable AI systems

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