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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

25
general
70
coding
84
reasoning
64
science
80
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica24
57.0
LS
Ranking de codificación148
75.0
AA
Ranking general191
55.0
AA
Ranking multimodal25
61.0
LS
Ciencia208
58.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent60.7%Aut.

Code

CyberGym73.8%Aut.
FrontierSWE56.0%
OpenRCA34.9%Aut.

Communication

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

Language

MMMLU91.1%Aut.

Legal

Legal Agent Benchmark4.2%

Long Context

MRCR v2 (8-needle)76.0%Aut.

Math

AIME 202599.8%Aut.
LiveBench76.3%

Multimodal

OSWorld72.7%Aut.

Reasoning

Vending-Bench 2801759.0%Aut.
Graphwalks parents >128k95.4%Aut.
GPQANYU + Cohere + Anthropic (2023)91.3%Aut.
BrowseCompOpenAI (2025)84.0%Aut.
SWE-Bench Verified80.8%Aut.
SWE-bench Multilingual77.8%Aut.
CharXiv-R77.4%Aut.
ARC-AGI v268.8%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)65.4%Aut.
MCP Atlas62.7%Aut.
Graphwalks BFS >128k61.5%Aut.
Humanity's Last Exam53.1%Aut.

Safety

FigQA78.3%Aut.

Search

DeepSearchQA91.3%Aut.

Vision

MMMU-Pro77.3%Aut.

Índices de evaluación AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
84.8
Gpqa(NYU + Cohere + Anthropic (2023))
84.0
Lcr(Artificial Analysis)
67.0
Terminalbench Hard(Stanford × Laude Institute (2026))
48.5
Ifbench(Google Research (2023))
44.6
Intelligence Index(Artificial Analysis)
26.4
Hle(Center for AI Safety + Scale AI (2025))
19.1

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Agents
100
Reasoning
100
General
100
Communication
100
Language
90
Physics
90
Search
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

16 proveedores

Más barato: AnthropicMás caro: Venice AI
ProveedorEntradaSalida
1AnthropicMás barato
$0.00001
$0.00003
2Abacus
$5
$25
3Jiekou.AI
$5
$25
4OpenCode Zen
$5
$25
5FrogBot
$5
$25
6AIHubMix
$5
$25
7Azure Cognitive Services
$5
$25
8Requesty
$5
$25
9DevPass (LLM Gateway)
$5
$25
10Azure
$5
$25
11Auriko
$5
$25
12FreeModel
$5
$25
13Neon
$5
$25
14Pioneer
$5
$25
15Opper
$5
$25
16Venice AI
$6
$30

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis