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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

AnthropicClaudeProprietary

Description

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.

Date de sortie
2026-04-16
Paramètres
—
Longueur du contexte
1.0M
Modalités
image, pdf, text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique6
67.0
LS
Classement codage80
87.0
AA
Classement général55
73.0
AA
Classement multimodal83
50.0
LS
Science54
81.0
AA

Scores 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%

Indices d'évaluation 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

Scores par catégorie 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

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

2 fournisseurs

Moins cher: AnthropicPlus cher: DeepInfra
FournisseurEntréeSortie
1AnthropicMoins cher
$0.00001
$0.00003
2DeepInfra
$0.00001
$0.00003

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes