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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

AnthropicClaudeProprietary

Descripción

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.

Fecha de lanzamiento
2026-04-16
Parámetros
—
Longitud del contexto
1.0M
Modalidades
image, pdf, text

Radar de capacidades

41
general
74
coding
91
reasoning
76
science
70
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica6
67.0
LS
Ranking de codificación76
87.0
AA
Ranking general55
73.0
AA
Ranking multimodal82
50.0
LS
Ciencia53
81.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent64.4%Aut.
Finance Agent v251.5%

Code

CyberGym73.1%Aut.
FrontierSWE63.0%

Language

MMMLU91.5%Aut.

Legal

Legal Agent Benchmark7.1%

Math

LiveBench76.9%

Multimodal

OSWorld-Verified78.0%Aut.

Reasoning

GPQANYU + Cohere + Anthropic (2023)94.2%Aut.
CharXiv-R91.0%Aut.
SWE-Bench Verified87.6%Aut.
BrowseCompOpenAI (2025)79.3%Aut.
MCP Atlas77.3%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.4%Aut.
SWE-Bench ProPrinceton NLP (2024)64.3%Aut.
Humanity's Last Exam54.7%Aut.
FrontierCode 1.138.5%

Índices de evaluación AA

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
91.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
88.6
Terminalbench V2 1
83.1
Lcr(Artificial Analysis)
78.7
Coding Index(Artificial Analysis)
73.6
Ifbench(Google Research (2023))
58.6
Terminalbench Hard(Stanford × Laude Institute (2026))
51.5
Hle(Center for AI Safety + Scale AI (2025))
42.3
Intelligence Index(Artificial Analysis)
40.7
Tau Banking
34.6

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Language
90
Physics
90
Frontend Development
90
Biology
90
Chemistry
90
Multimodal
80
Search
80
Long Context
70
Math
70
Reasoning
70
Safety
70
General
70
Code
70
Tool Calling
70
Vision
70
Finance
60
Agents
60
Healthcare
30
Legal
10

Precios

Precio de entrada$5 / 1M tokens
Precio de salida$25 / 1M tokens
Precio mixto (3:1)$10 / 1M tokens
Precio de lectura caché$0.5 / 1M tokens
Precio de escritura caché$6.25 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

2 proveedores

Más barato: AnthropicMás caro: DeepInfra
ProveedorEntradaSalida
1AnthropicMás barato
$0.00001
$0.00003
2DeepInfra
$0.00001
$0.00003

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas