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Claude Opus 4.8

AnthropicClaudeProprietary

Description

Claude Opus 4.8 is Anthropic's upgrade to Opus 4.7 and its most capable general-access model at release, with improvements across software engineering, agentic tool use, reasoning, computer use, and knowledge-work benchmarks while shipping at the same price ($5/$25 per million input/output tokens). Performance gains include SWE-Bench Verified (88.6%), SWE-Bench Pro (69.2%), Terminal-Bench 2.1 (74.6%), GPQA Diamond (93.6%), USAMO 2026 (96.7%), Humanity's Last Exam with tools (57.9%), OSWorld-Verified (83.4%), BrowseComp (84.3% single-agent, 88.5% multi-agent), MCP-Atlas (82.2%), and GDPval-AA (1890 Elo). The alignment assessment reports honesty improvements with around a four-fold drop in letting flaws in self-written code pass unremarked, a 17-fold drop relative to Sonnet 4.6 on dishonest agentic code summaries, and broadly improved adherence to Claude's constitution. The model defaults to high effort and exposes new 'extra' (xhigh) and 'max' levels for harder problems. Launches alongside Claude Code dynamic workflows (parallel subagents that plan, execute, and verify codebase-scale migrations), effort control in claude.ai and Cowork, and a Messages API extension that accepts system entries inside the messages array so harnesses can update instructions mid-task without breaking the prompt cache. Fast mode runs at 2.5× speed at $10/$50 per million input/output tokens, three times cheaper than fast mode on previous models. Available across Claude products, the Claude API as `claude-opus-4-8`, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry.

Date de sortie
2026-05-28
Paramètres
Longueur du contexte
1.0M
Modalités
image, pdf, text

Radar de capacités

61
general
70
coding
70
reasoning
77
scienceest.
70
agents
70
multimodal

Science utilise un proxy de raisonnement lorsque les benchmarks scientifiques dédiés ne sont pas disponibles.

Classements

Domaine#RangScoreSource
Capacité agentique7
72.0
LS
Raisonnement mathématique7
94.0
LB
Classement multimodal13
63.0
LS
Raisonnement7
89.0
LB

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

GDPval-AA1638.00 / 3000
DeepSearchQA93.1%Aut.
BrowseCompOpenAI (2025)84.3%Aut.
OSWorld-Verified83.4%Aut.
MCP Atlas82.2%Aut.
CyberGym78.8%Aut.
FrontierSWE75.0%
Terminal-Bench 2.0Stanford × Laude Institute (2026)74.6%Aut.
SWE-Bench ProPrinceton NLP (2024)69.2%Aut.
OfficeQA Pro66.2%Aut.
Toolathlon59.9%Aut.
DeepSWE 1.159.0%
Finance Agent v253.9%
Finance Agent53.9%Aut.
FrontierCode 1.146.5%
SWE-Bench Multimodal38.4%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)93.6%Aut.

Code

SWE-Bench Verified88.6%Aut.
SWE-bench Multilingual84.4%Aut.

General

Include87.6%Aut.
LiveBench77.2%

Grounding

ScreenSpot Pro87.9%Aut.

Healthcare

HealthBench Professional55.8%Aut.

Long Context

Graphwalks parents >128k83.3%Aut.
Graphwalks BFS >128k68.1%Aut.

Math

Humanity's Last Exam57.9%Aut.

Multimodal

CharXiv-R89.9%Aut.

Indices d'évaluation AA

(Artificial Analysis)

Aucune donnée d'évaluation AA disponible

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Legal
100
Finance
100
Agents
100
Reasoning
83
General
61
Physics
90
Search
90
Frontend Development
90
Grounding
90
Biology
90
Chemistry
90
Long Context
80
Safety
80
Spatial Reasoning
80
Math
70
Multimodal
70
Code
70
Tool Calling
70
Vision
70
Healthcare
60

Tarification

Prix d'entrée$0.00001 / 1M tokens
Prix de sortie$0.00003 / 1M tokens
Prix mixte (3:1)$0.00001 / 1M tokens
Prix de lecture cache$0.5 / 1M tokens
Prix d'écriture cache$6.25 / 1M tokens

Vitesse

Aucune donnée de vitesse disponible

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

16 fournisseurs

Moins cher: AnthropicPlus cher: Venice AI
FournisseurEntréeSortie
1AnthropicPRINCIPAL
$0.00001
$0.00003
2UnoRouter
$0.425
$2.125
3Xpersona
$1.5
$9.25
4Abacus
$5
$25
5OpenCode Zen
$5
$25
6AIHubMix
$5
$25
7Azure Cognitive Services
$5
$25
8LLM Gateway
$5
$25
9Azure
$5
$25
10routing.run
$5
$25
11FreeModel
$5
$25
12Neon
$5
$25
13Pioneer
$5
$25
14DaoXE
$5
$25
15Modelis
$5
$25
16Venice AI
$6
$30

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes