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Claude Opus 4.6 (Non-reasoning, High Effort)

AnthropicClaudeProprietary

Description

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).

Date de sortie
2026-02-05
Paramètres
—
Longueur du contexte
1.0M
Modalités
image, pdf, text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique23
57.0
LS
Classement codage77
75.0
AA
Classement général130
64.0
AA
Classement multimodal45
46.0
LS
Science113
66.0
AA

Scores 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.

Indices d'évaluation 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

Scores par catégorie 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

Tarification

Prix d'entrée$5 / 1M tokens
Prix de sortie$25 / 1M tokens
Prix mixte (3:1)$10 / 1M tokens
Prix de lecture cache$0.5 / 1M tokens
Prix d'écriture cache$6.25 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

16 fournisseurs

Moins cher: AnthropicPlus cher: Venice AI
FournisseurEntréeSortie
1AnthropicMoins cher
$0.00001
$0.00003
2302.AI
$5
$25
3Abacus
$5
$25
4Jiekou.AI
$5
$25
5OpenCode Zen
$5
$25
6FrogBot
$5
$25
7AIHubMix
$5
$25
8Azure Cognitive Services
$5
$25
9Requesty
$5
$25
10LLM Gateway
$5
$25
11Azure
$5
$25
12Auriko
$5
$25
13FreeModel
$5
$25
14Neon
$5
$25
15Pioneer
$5
$25
16Venice AI
$6
$30

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes

LLM StatsArtificial Analysis