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Claude Opus 4.6 (Non-reasoning, High Effort)

AnthropicClaudeProprietary

Descripción

Claude Opus 4.6 is Anthropic's most intelligent model, improving on its predecessor's coding skills with more careful planning, longer agentic task sustenance, more reliable operation in larger codebases, and better code review and debugging skills. First Opus-class model with 1M token context window (beta), 128K output tokens, and adaptive thinking. Features effort controls (low/medium/high/max) and context compaction for long-running tasks. State-of-the-art on Terminal-Bench 2.0, Humanity's Last Exam, GDPval-AA, and BrowseComp. Pricing: $5/$25 per million tokens (input/output).

Fecha de lanzamiento
2026-02-05
Parámetros
—
Longitud del contexto
1.0M
Modalidades
image, pdf, text

Radar de capacidades

35
general
46
coding
84
reasoning
58
science
80
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica25
57.0
LS
Ranking de codificación83
75.0
AA
Ranking general139
64.0
AA
Ranking multimodal46
46.0
LS
Ciencia125
65.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Vending-Bench 2801759.0%Aut.
DeepSearchQA91.3%Aut.
BrowseCompOpenAI (2025)84.0%Aut.
CyberGym73.8%Aut.
OSWorld72.7%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)65.4%Aut.
MCP Atlas62.7%Aut.
Finance Agent60.7%Aut.
FrontierSWE56.0%
OpenRCA34.9%Aut.
Legal Agent Benchmark4.2%

Biology

GPQANYU + Cohere + Anthropic (2023)91.3%Aut.

Code

SWE-Bench Verified80.8%Aut.
SWE-bench Multilingual77.8%Aut.

Communication

Tau2 Telecom99.3%Aut.
Tau2 Retail91.9%Aut.

General

MMMLU91.1%Aut.
MMMU-Pro77.3%Aut.
LiveBench76.3%
MRCR v2 (8-needle)76.0%Aut.

Healthcare

FigQA78.3%Aut.

Long Context

Graphwalks parents >128k95.4%Aut.
Graphwalks BFS >128k61.5%Aut.

Math

AIME 202599.8%Aut.
Humanity's Last Exam53.1%Aut.

Multimodal

CharXiv-R77.4%Aut.

Reasoning

ARC-AGI v268.8%Aut.

Índices de evaluación AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
38.8
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.6
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.5
Ifbench(Google Research (2023))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.2

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Agents
100
Reasoning
100
General
100
Communication
100
Physics
90
Search
90
Language
90
Biology
90
Chemistry
90
Long Context
80
Math
80
Multimodal
80
Safety
80
Spatial Reasoning
80
Frontend Development
80
Healthcare
80
Tool Calling
80
Code
70
Vision
70
Finance
60
Legal
0

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

1 proveedores

ProveedorEntradaSalida
1Anthropic
$0.00001
$0.00003

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis