Claude Opus 4.7

Adaptive Reasoning, Max Effort

Creator

Anthropic

Released

2026-04-16

Intelligence

53.5

Artificial Analysis Index

Coding

73.6

Artificial Analysis Index

In $/1M

$5.00

input tokens

Out $/1M

$25.00

output tokens

Blended $/1M

$10.00

3:1 blended

Speed

0

tokens / sec

Profile

License, openness, and modality — the governance layer.

License

Proprietary

non-commercial

Weights

Closed

API only

Modalities

Image · Text

Parameters

Claude Opus 4.7 is Anthropic's latest Opus-class model, a direct upgrade to Opus 4.6 with notable improvements in advanced software engineering, particularly on the most difficult tasks. It handles complex, long-running agentic workflows with rigor and consistency, follows instructions more literally and precisely, and verifies its own outputs before reporting back. Substantially improved vision supports high-resolution images up to 2,576 pixels on the long edge (~3.75 megapixels, over 3x prior Claude models), unlocking dense screenshot reading, complex diagram extraction, and pixel-perfect references. Better file system-based memory enables coherent multi-session work. Introduces a new 'xhigh' effort level between 'high' and 'max' for finer control over the reasoning/latency tradeoff, and ships with task budgets (public beta) on the Claude Platform. Uses an updated tokenizer (inputs may map to ~1.0-1.35x more tokens than Opus 4.6). Released with automated safeguards that detect and block prohibited or high-risk cybersecurity uses. Available across Claude products, the Claude API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry. Pricing: $5/$25 per million tokens (input/output), unchanged from Opus 4.6.

Capability profile

Category strength across 20 domains, via LLM Stats.

legal
100finance
100agents
100reasoning
100general
100biology
90physics
90language
90chemistry
90frontend development
90
search
80multimodal
80code
70math
70safety
70vision
70long context
70tool calling
70healthcare
30
Via LLM Stats

Benchmark breakdown

Independent evaluation scores, normalized to 0–100.

GPQA Diamond
91
Humanity’s Last Exam
40
MMLU-Pro
SciCode
55
LiveCodeBench
MATH-500
AIME 2025
τ²-Bench (agentic)
89
Terminal-Bench Hard
52
IFBench
59
Via Artificial Analysis

Providers

Inference hosts serving this model — their own pricing and measured performance, cheapest input first.

ProviderIn $/1MOut $/1MThroughputLatencyStatus
Anthropic$5.00$25.00420.50active
All providers

1 host · via LLM Stats

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