LIVE
OpenAI Raises $11 Billion at $1.25 Trillion Valuation08/11/26 · OpenAI|Anthropic IPO valuation expectations drop to as low as $1.1 trillion06/11/26 · Anthropic|Mark Cuban Accuses Facebook of Knowingly Profiting From Deepfake Scam Ads06/11/26 · Meta|OpenAI Unveils GPT‑6 Cyber, a Model Built for Vulnerability Research05/11/26 · OpenAI|OpenAI's AI Pipeline Uncovers Nearly 1,000 Linux Kernel Flaws04/11/26 · OpenAI|Hidden AI-related debt at US tech giants jumps 90% to $3.2 trillion03/11/26|China Introduces Its First Export Controls on Frontier AI02/11/26|Claude Code's 'Don't Ask Again' option linked to password leaks in 1,122 public GitHub files07/11/26 · Anthropic|Microsoft Research disbands its AI Frontiers group as John Langford departs07/11/26 · Microsoft|Essay argues AI is already sharply speeding up AI research itself06/11/26|University libraries overwhelmed by AI scraping bots06/11/26|ToyBlocks: A Controlled Environment for Robot Learning and Evaluation06/11/26 · Allen Institute for AI|OpenAI Raises $11 Billion at $1.25 Trillion Valuation08/11/26 · OpenAI|Anthropic IPO valuation expectations drop to as low as $1.1 trillion06/11/26 · Anthropic|Mark Cuban Accuses Facebook of Knowingly Profiting From Deepfake Scam Ads06/11/26 · Meta|OpenAI Unveils GPT‑6 Cyber, a Model Built for Vulnerability Research05/11/26 · OpenAI|OpenAI's AI Pipeline Uncovers Nearly 1,000 Linux Kernel Flaws04/11/26 · OpenAI|Hidden AI-related debt at US tech giants jumps 90% to $3.2 trillion03/11/26|China Introduces Its First Export Controls on Frontier AI02/11/26|Claude Code's 'Don't Ask Again' option linked to password leaks in 1,122 public GitHub files07/11/26 · Anthropic|Microsoft Research disbands its AI Frontiers group as John Langford departs07/11/26 · Microsoft|Essay argues AI is already sharply speeding up AI research itself06/11/26|University libraries overwhelmed by AI scraping bots06/11/26|ToyBlocks: A Controlled Environment for Robot Learning and Evaluation06/11/26 · Allen Institute for AI|
🇺🇸 United States agentsReleased July 2026

Claude Opus 5

Anthropic
EU hosting Card data 75/100 Trust Index 58
Verdict

A good performance / EU-hosting balance for a European company.

Overview

Claude Opus 5 is Anthropic's top-tier proprietary model, built around autonomous agent workflows, reasoning and coding, with a one-million-token context window. No technical report or benchmark figures have been published yet, so real-world performance still needs to be validated per use case. Weights are closed and served only via Anthropic's own infrastructure in the US, meaning no on-premise deployment and data processed under US jurisdiction—a point European CIOs and CISOs should weigh carefully.

Skill profile

Arena Elo1492

Not disclosed

Three independent measures

What people prefer, what the model can do, what the market uses. Each source has its biases and none is enough on its own: we show them side by side, never blended.

Preference
Which answer do people prefer, blind?
1492Elo
Sensitive to answer style and length.
Capability
What can the model do on measured tasks?
50.8/ 100
Aggregates ten evaluations run by Artificial Analysis.
Adoption
What does the market actually use?
0.3 %
#29 on OpenRouter, 30 days
Source: OpenRouter (openrouter.ai/rankings), as of 2 Nov 2026. CC BY 4.0
OpenRouter traffic only: measures adoption, not quality, and misses direct use of vendor APIs.

Strengths

  • World-class on Arena
  • Very long context

Limitations

  • High output cost

Who is it for

A good fit if…
  • your data must stay in the EU
Skip it if…
  • your budget is tight

Ideal use cases

  • Multi-step autonomous agents
  • Code review and generation
  • Large document analysis
  • Complex decision support

Access & availability

Paid API per token

Key specifications

Context
1M
Input price
$5.00/M
Output price
$25.00/M
Speed
—
Price not auditedBenchmarks not audited

What it costs per month

Estimate from sourced API prices and a hardware tier for self-hosting. Assumptions are editable.

Via API
$200 / month
≈ 184 € · 20.0 M tokens
Self-hosted
Closed weights: no self-hosting

Assumptions: 36-month amortisation, 0.25 €/kWh, 22 days/month, 1 $ = 0.92 €. Excludes labour, software licences, redundancy.

nAIvigate Trust Index

58/100

What the vendor offers and documents for professional use in Europe. An undocumented criterion counts as zero and stays visible: the score rises when the vendor publishes, not when we assume.

19/20 criteria documented · 95 %

Data50
5/5 · 30 %
Sovereignty10
3/3 · 20 %
Transparency75
4/4 · 15 %
Enterprise83
5/6 · 20 %
Licence85
2/2 · 15 %
See the criteria▾
Data
EU data residency
No transfer outside EU
No training on your data
Configurable retention
Zero Data Retention50
Sovereignty
Self-hostable (open weights)
EU hosting offered
European vendorcountry: US30
Transparency
Published licence (URL)
Public, sourced pricing
Published compliance commitments
Subprocessor list published
Enterprise
DPA available
SSO / SAML
SCIM provisioning
Audit logs
SOC 2 / ISO 27001
Vendor private endpointnot documented
Licence
Commercial use allowed
Licence typeproprietary70
Full ranking and methodology

Trust Index badge

Show this score in your docs, README or security page. It updates automatically.

nAIvigate Trust Index · Claude Opus 5
[![nAIvigate Trust Index · Claude Opus 5](https://naivigate.com/badge/claude-opus-5.svg?lang=en)](https://naivigate.com/en/model/claude-opus-5)

Data & compliance

What we know, line by line, with source and date. These lines feed the Data and Enterprise families of the Trust Index above. GDPR compliance depends on your processing, not on the model alone.

EU data residencyNo
Data processing agreement (DPA)Yes
Transfer outside the EUYes
Training on your dataNo
Configurable retentionYes
Zero Data RetentionOn request
Self-hostableNo
Declared hostingUS

Quality of this card’s data

75/100

This score measures the quality of the data on this card: price, context, Elo, licence, documented, sourced and fresh. It measures neither the model nor its compliance: for that, see the Trust Index above.

5/6 documented · 3/6 primary sources

API pricingofficial
Context windownAIvigate assessment
Arena EloLMArena, human preferenceindependent
Benchmarks (MMLU, GPQA, SWE-bench…)missing
LicencenAIvigate assessment
Data & complianceofficial
Advanced data · for experts
Architecture, modalities, detailed cost, full benchmarks
▾
Architecture
—
Size
—
Cutoff date
—
Inputs
—
Outputs
—
License
proprietary
Hosting
US
Hallucination score
—
Estimated cost (API)
Typical exchange (~3k in / 1k out)
≈ $0.0400
1M in + 1M out
≈ $30.00
All benchmarks
Arena Elo1492
MMLU—
GPQA—
HumanEval—
SWE-Bench—
MATH—

Similar models