Claude Opus 5.5
Claude Opus 5.5 is the first model in Anthropic's Claude 5.5 family. It performs at Claude Fable 5.1 level on most work at about 40% lower cost than Claude Opus 5, and targets long-running agentic coding and knowledge work. It accepts text and image input with text output, supports multilingual and vision workloads, tool use, and adaptive thinking that is always on (API default effort medium). Context window is 1M tokens with 128K max output on the sync Messages API; reliable knowledge and training-data cutoffs are June 2026. First-party pricing is $4/$20 per million input/output tokens, with cache reads at $0.20 and 5-minute cache writes at $5 per million tokens. Fast mode is available in Claude Code and on the Claude Platform at $8/$40 per million input/output tokens with up to 2.5x speed (same model id; not a separate deployment). Capability scores are self-reported from the Claude Opus 5.5 System Card (Table 8.1.A and §8) and the launch announcement. Available on the Claude API as `claude-opus-5-5`.
Identité
| Organisation | Anthropic |
|---|---|
| Pays | — |
| Famille | — |
| Type | llm |
| Date de sortie | 2026-09-22 |
| Licence | proprietary |
| Licence commerciale | non |
| Licence open source | non |
| Poids ouverts | non |
| Auto-hébergement (DGX Spark) | non — poids fermés |
| Modalités | image|text |
| Fenêtre de contexte | 1 000 000 |
| KV cache / token (Q8) | — |
| Paramètres totaux | — |
| Paramètres actifs (session) | ≈ 66 B–82 B (estimation, confiance très faible — https://gitlab.com/data-players/llm-stats-analysis/-/blob/main/docs/estimation-parametres-actifs.md) |
| Source des paramètres actifs | https://gitlab.com/data-players/llm-stats-analysis/-/blob/main/docs/estimation-parametres-actifs.md (estimation, confiance très faible) |
| Curation des paramètres actifs | 2026-10-28 |
| Prix par session | 8.00 $ (1 000 000 tokens entrée + 200 000 sortie, prix le moins cher par fournisseur) |
| Tokens / tâche (Data Players) | 1.2 M |
| Tokens / tâche (Terminal-Bench) | 121 M |
| Ratio Terminal-Bench / Data Players | 101.0× |
| Coût / tâche (Terminal-Bench) | 71.21 $ |
| Tokens d'entraînement | — |
| Coupure de connaissance | 2026-06-01 |
| Créé le | 2026-09-22T18:10:56.000674Z |
| Mis à jour le | 2026-11-04T06:04:34.093597Z |
| Source | LLM Stats |
| URL | https://llm-stats.com/models/claude-opus-5-5 |
IA Act — preuves fournisseur
| Critère | Note / 5 | Poids |
|---|---|---|
| Documentation technique | 1,2 | 5 % |
| Résumé des données d'entraînement | 2,5 | 35 % |
| Conformité droit d'auteur | 2,5 | 35 % |
| Code of Practice GPAI | 2,5 | 20 % |
| Risque systémique | 0,0 | 5 % |
Curation : 2026-10-23.
IA ActPrix par fournisseur
Statut du modèle (offres + auto-hébergement) : partiel — via AWS Bedrock (eurouter).
Toutes sources confondues : catalogue llm-stats, routeurs EUrouter/Cortecs et catalogues directs (OVHcloud, Scaleway, Infomaniak). Les prix sont convertis en USD pour la comparaison ; le prix publié et le taux BCE utilisé sont dans l'infobulle. Les prix inconnus restent indiqués « — ».
| Fournisseur | Source | Souveraineté | Entrée (/M tok) | Sortie (/M tok) | Quantification | Contexte | Latence (s) | Débit (tok/s) | Statut |
|---|---|---|---|---|---|---|---|---|---|
| AWS Bedrock | eurouter | partiel | — | — | — | 1 000 000 | — | — | — |
| Anthropic | llm-stats | non | 4.00 $ | 20.00 $ | — | — | — | — | active |
Souveraineté qualifiée par offre (modèle × fournisseur) ; survolez le badge pour les critères.
SouverainetéScores par catégorie (top_scores)
| Catégorie | Score |
|---|---|
| language | 0.90 |
| legal | 0.10 |
| math | 0.70 |
| multimodal | 0.80 |
| productivity | 1 822.00 |
| reasoning | 167.40 |
| science | 0.70 |
| general | 119.00 |
| healthcare | 0.60 |
| agents | 193.60 |
| biology | 0.70 |
| code | 0.70 |
| tool_calling | 0.60 |
| vision | 0.80 |
Scores par benchmark
| Benchmark | Catégorie | Score | Max | Normalisé (API) | Vérifié | Auto-déclaré | Daté du |
|---|---|---|---|---|---|---|---|
| aa-briefcase-1.1 | agents | 1 822.00 | 3 000.00 | 0.61 | non | oui | 2026-11-04T06:04:34.203440Z |
| arxivmath | math | 0.91 | 1.00 | 0.91 | non | oui | 2026-11-04T06:04:34.223134Z |
| automationbench | agents | 0.40 | 1.00 | 0.40 | non | oui | 2026-11-04T06:04:34.123157Z |
| benchcad | code | 0.73 | 1.00 | 0.73 | non | oui | 2026-11-04T06:04:34.233098Z |
| benchcad-with-python-tool | code | 0.96 | 1.00 | 0.96 | non | oui | 2026-11-04T06:04:34.243225Z |
| biomysterybench | biology | 0.89 | 1.00 | 0.89 | non | oui | 2026-11-04T06:04:34.313142Z |
| chartography | vision | 0.89 | 1.00 | 0.89 | non | oui | 2026-11-04T06:04:34.153220Z |
| cursorbench-4.0 | code | 0.58 | 1.00 | 0.58 | non | oui | 2026-11-04T06:04:34.107979Z |
| deepswe-1.1 | code | 0.74 | 1.00 | 0.74 | non | oui | 2026-11-04T06:04:34.213200Z |
| frontiercode-1.1 | reasoning | 0.54 | 1.00 | 0.54 | non | oui | 2026-11-04T06:04:34.103639Z |
| frontierswe-v2 | code | 0.62 | 1.00 | 0.62 | non | oui | 2026-11-04T06:04:34.218212Z |
| gdpval-aa-2.1 | general | 1 846.00 | 3 000.00 | 0.62 | non | oui | 2026-11-04T06:04:34.113228Z |
| global-mmlu | general | 0.94 | 1.00 | 0.94 | non | oui | 2026-11-04T06:04:34.282738Z |
| healthbench | healthcare | 0.61 | 1.00 | 0.61 | non | oui | 2026-11-04T06:04:34.275595Z |
| healthbench-professional | healthcare | 0.66 | 1.00 | 0.66 | non | oui | 2026-11-04T06:04:34.193277Z |
| humanity's-last-exam-(no-tools,-text-only) | reasoning | 0.64 | 1.00 | 0.64 | non | oui | 2026-11-04T06:04:34.183229Z |
| humanity's-last-exam-(with-tools,-text-only) | reasoning | 0.68 | 1.00 | 0.68 | non | oui | 2026-11-04T06:04:34.129374Z |
| latchbio-singlecellbench | science | 0.61 | 1.00 | 0.61 | non | oui | 2026-11-04T06:04:34.333185Z |
| latchbio-spatialbench-verified | biology | 0.72 | 1.00 | 0.72 | non | oui | 2026-11-04T06:04:34.322849Z |
| legal-agent-benchmark | legal | 0.08 | 1.00 | 0.08 | non | oui | 2026-11-04T06:04:34.263174Z |
| lifesci-diamond-2026-11 | healthcare | 0.13 | 1.00 | 0.13 | non | non | 2026-11-04T06:04:34.337331Z |
| milu | language | 0.93 | 1.00 | 0.93 | non | oui | 2026-11-04T06:04:34.303043Z |
| officeqa | agents | 0.79 | 1.00 | 0.79 | non | oui | 2026-11-04T06:04:34.253334Z |
| officeqa-pro | agents | 0.68 | 1.00 | 0.68 | non | oui | 2026-11-04T06:04:34.258609Z |
| osworld-2.0 | multimodal | 0.82 | 1.00 | 0.82 | non | oui | 2026-11-04T06:04:34.140666Z |
| program-bench | agents | 0.91 | 1.00 | 0.91 | non | oui | 2026-11-04T06:04:34.229636Z |
| swe-bench-multilingual | reasoning | 0.94 | 1.00 | 0.94 | non | oui | 2026-11-04T06:04:34.163318Z |
| swe-bench-multimodal | reasoning | 0.61 | 1.00 | 0.61 | non | oui | 2026-11-04T06:04:34.170482Z |
| swe-bench-pro | reasoning | 0.90 | 1.00 | 0.90 | non | oui | 2026-11-04T06:04:34.159263Z |
| terminal-bench-4.0 | reasoning | 0.66 | 1.00 | 0.66 | non | oui | 2026-11-04T06:04:34.097893Z |
| terminal-bench-science-0.1 | reasoning | 0.59 | 1.00 | 0.59 | non | oui | 2026-11-04T06:04:34.133068Z |
| toolathlon-verified | agents | 0.78 | 1.00 | 0.78 | non | oui | 2026-11-04T06:04:34.270170Z |
Classements
| Catégorie | Rang | Score | Note conservatrice | Benchmarks évalués | Méthode | Daté du | Provenance |
|---|---|---|---|---|---|---|---|
| agents | 2 | 193.60 | 45.70 | 19 | trueskill | 2026-11-04T08:08:47.839150Z | rankings |
| code | 1 | 0.70 | 51.01 | 12 | trueskill | 2026-11-04T08:08:39.742311Z | rankings |
| math | 6 | 0.70 | 42.26 | 3 | trueskill | 2026-11-04T08:08:42.442591Z | rankings |
| multimodal | 1 | 0.80 | 41.82 | 5 | trueskill | 2026-11-04T08:08:46.488887Z | rankings |
| reasoning | 1 | 167.40 | 58.49 | 22 | trueskill | 2026-11-04T08:08:41.093494Z | rankings |
Données
Dates de curation (récupération depuis l'API) : models 2026-11-04 · benchmarks 2026-11-04 · scores 2026-11-04 · updates 2026-11-04 · account 2026-11-04 · model_history 2026-11-04 · rankings 2026-11-04