GPT-5.6 (Sol / Terra / Luna) is now evaluated on TrustVector โ€” with day-1 independent verification, incl. METR's benchmark-cheating findings.

Read the evaluation
Evaluation record ยท claude-opus-4-8

Claude Opus 4.8

v20260528

Anthropic

Modelcodingreasoningagenticenterprise
92
Exceptional
About This Model

Anthropic's flagship Opus model with state-of-the-art long-horizon agentic execution, knowledge work, and memory. 84% on Online-Mind2Web, dynamic multi-subagent workflows, ~4x less likely to miss its own code flaws than its predecessor, and 1M context at standard pricing.

Last Evaluated: July 9, 2026
Official Website

Trust Vector Analysis

Dimension Breakdown

๐Ÿš€Performance & Reliability
+

Current flagship Opus. State-of-the-art long-horizon agentic execution, knowledge work, and memory; 84% Online-Mind2Web; dynamic multi-subagent workflows. Superseded only by the higher-tier Claude Fable 5.

task accuracy code

Agentic coding and web-agent benchmarks measuring long-horizon autonomous execution and self-verification

Evidence
Anthropic Launch Announcement โ€” State-of-the-art long-horizon agentic coding; ~4x less likely to miss flaws in its own code vs Opus 4.7
Online-Mind2Web โ€” 84% on Online-Mind2Web live web-agent benchmark
highVerified: 2026-07-09
task accuracy reasoning

Graduate-level reasoning and knowledge-work benchmarks evaluated with adaptive thinking at high effort

Evidence
Anthropic Launch Announcement โ€” State-of-the-art on knowledge work and memory tasks; improved planning via deeper per-step reasoning
highVerified: 2026-07-09
task accuracy general

Comprehensive knowledge and multimodal testing, including high-resolution vision inherited from Opus 4.7

Evidence
Anthropic Launch Announcement โ€” Gains across knowledge work, document tasks, and memory benchmarks over Opus 4.7
highVerified: 2026-07-09
output consistency

Long-horizon agentic run consistency and self-verification testing across effort levels

Evidence
Anthropic Launch Announcement โ€” ~4x reduction in missed self-authored code flaws; stronger self-verification across long agentic runs
highVerified: 2026-07-09
latency p50

Median latency for API requests with standard prompt sizes

Evidence
Community benchmarking โ€” Typical response time ~2.8s for standard prompts at default effort; fast mode available at $10/$50
mediumVerified: 2026-07-09
latency p95

95th percentile response time across diverse workloads

Evidence
Community benchmarking โ€” p95 ~6.5s; higher at xhigh/max effort
mediumVerified: 2026-07-09
context window

Official specification from provider

Evidence
Anthropic API Documentation โ€” 1M token context at standard API pricing (no long-context premium), 128K max output
highVerified: 2026-07-09
uptime

Historical uptime data from official status page

Evidence
Anthropic Status Page โ€” Claude API uptime 99.57% (last 90 days); elevated-error incidents across models in early July 2026, including an Opus 4.8-specific incident on 2026-07-09
highVerified: 2026-07-09
๐Ÿ›ก๏ธSecurity
+

Strong safety posture with agentic-specific safeguards. Mid-session system prompts (beta) give operators a non-spoofable instruction channel for long-running sessions.

prompt injection resistance

Testing against OWASP LLM01 prompt injection attacks, including agentic browsing scenarios

Evidence
Anthropic Launch Announcement โ€” Improved resistance to injected instructions in agentic and browsing contexts; mid-session system prompts (beta) provide an injection-safe operator channel
highVerified: 2026-07-09
jailbreak resistance

Testing against adversarial prompt datasets

Evidence
Anthropic Constitutional AI โ€” Constitutional AI alignment with refined refusal calibration
highVerified: 2026-07-09
data leakage prevention

Analysis of privacy policies and data handling practices

Evidence
Anthropic Privacy Statement โ€” Training opt-out by default for API; no training on user data without consent
mediumVerified: 2026-07-09
output safety

Comprehensive safety testing across harmful content categories

Evidence
Anthropic Launch Announcement โ€” Released under the Responsible Scaling Policy with real-time cybersecurity safeguards carried forward from Opus 4.7
highVerified: 2026-07-09
api security

Review of API security features and best practices

Evidence
Anthropic API Documentation โ€” API key and OAuth authentication, HTTPS only, rate limiting, workspace scoping
highVerified: 2026-07-09
๐Ÿ”’Privacy & Compliance
+

Standard Anthropic enterprise compliance posture: SOC 2 Type II, GDPR, HIPAA-eligible, training opt-out by default for API traffic.

data residency

Review of enterprise documentation and privacy policies

Evidence
Anthropic Enterprise Documentation โ€” Data residency options for US and EU enterprise customers
highVerified: 2026-07-09
training data optout

Analysis of privacy policy and data usage terms

Evidence
Anthropic Privacy Policy โ€” Training opt-out by default for API usage
highVerified: 2026-07-09
data retention

Review of terms of service and data retention policies

Evidence
Anthropic Trust Center โ€” Zero data retention agreements available for eligible API customers
highVerified: 2026-07-09
pii handling

Review of data protection capabilities and customer responsibilities

Evidence
Anthropic Privacy Documentation โ€” Customer responsible for PII redaction; provider-side safeguards for incidental PII
mediumVerified: 2026-07-09
compliance certifications

Verification of compliance certifications and audit reports

Evidence
Anthropic Trust Center โ€” SOC 2 Type II, GDPR compliant, HIPAA eligible
highVerified: 2026-07-09
zero data retention

Review of data handling practices and trust center documentation

Evidence
Anthropic Trust Center โ€” Zero data retention configuration available; no training on API data by default
highVerified: 2026-07-09
๐Ÿ‘๏ธTrust & Transparency
+

More deliberate and transparent in long agentic runs than Opus 4.7 โ€” narrates progress, flags uncertainty, and self-verifies code. Thinking text remains omitted by default.

explainability

Evaluation of reasoning transparency and explanation capabilities

Evidence
Anthropic Adaptive Thinking Documentation โ€” Adaptive thinking with effort control; richer user-facing narration during long agentic runs; thinking text omitted by default with summarized display opt-in
mediumVerified: 2026-07-09
hallucination rate

Testing on factual QA datasets and self-verification evaluations

Evidence
Anthropic Launch Announcement โ€” ~4x reduction in missed self-authored code flaws; improved factual grounding in knowledge work
mediumVerified: 2026-07-09
bias fairness

Evaluation on bias benchmarks and diverse demographic testing

Evidence
Anthropic Responsible Scaling Policy โ€” Regular bias testing and mitigation under the Responsible Scaling Policy
mediumVerified: 2026-07-09
uncertainty quantification

Qualitative assessment of confidence expression in outputs

Evidence
Anthropic Launch Announcement โ€” More deliberate: pauses to ask on ambiguous decisions and flags uncertainty rather than guessing
mediumVerified: 2026-07-09
model card quality

Review of documentation completeness and clarity

Evidence
Anthropic Model Documentation โ€” Comprehensive model card with capabilities, limitations, benchmarks, and migration guidance
highVerified: 2026-07-09
training data transparency

Review of public disclosures about training data

Evidence
Anthropic Public Statements โ€” General description provided, detailed sources not disclosed
mediumVerified: 2026-07-09
guardrails

Analysis of built-in safety mechanisms

Evidence
Constitutional AI โ€” Constitutional AI safety guardrails with real-time cybersecurity safeguards
highVerified: 2026-07-09
โš™๏ธOperational Excellence
+

Drop-in upgrade from Opus 4.7 (identical API surface). 1M context at standard pricing with no long-context premium; optional fast mode at $10/$50.

api design quality

Review of API design, consistency, and feature completeness

Evidence
Anthropic Migration Guide โ€” Same API surface as Opus 4.7 โ€” no new breaking changes; adds mid-session system prompts (beta)
highVerified: 2026-07-09
sdk quality

Review of SDK quality, documentation, and maintenance

Evidence
Anthropic SDKs โ€” Official SDKs (Python, TypeScript, Java, Go, Ruby, C#, PHP) with day-one support
highVerified: 2026-07-09
versioning policy

Review of versioning policy and historical practices

Evidence
Anthropic API Versioning โ€” Clear versioning with advance deprecation notice; stable claude-opus-4-8 alias
Anthropic Model Deprecations โ€” Active; tentative retirement not sooner than May 28, 2027; recommended replacement for deprecated Opus 4.1 and retired Opus 4
highVerified: 2026-07-09
monitoring observability

Review of available monitoring tools and metrics

Evidence
Anthropic Console โ€” Usage dashboard with metrics, cost tracking, and workspace controls
mediumVerified: 2026-07-09
support quality

Assessment of documentation, community, and support responsiveness

Evidence
Anthropic Support โ€” Email support, developer community, comprehensive docs and a dedicated 4.7-to-4.8 migration guide
highVerified: 2026-07-09
ecosystem maturity

Analysis of third-party integrations and availability surfaces

Evidence
Anthropic Launch Announcement โ€” Available on the Anthropic API and major cloud platforms; default model in Claude Code and the Agent SDK
highVerified: 2026-07-09
license terms

Review of licensing terms and restrictions

Evidence
Anthropic Commercial Terms โ€” Standard commercial terms; enterprise agreements available
highVerified: 2026-07-09
Strengths
  • +State-of-the-art long-horizon agentic execution, knowledge work, and memory
  • +84% on Online-Mind2Web live web-agent benchmark
  • +~4x less likely to miss flaws in its own code than Opus 4.7
  • +Dynamic multi-subagent workflows for parallel fan-out
  • +1M context at standard pricing (no long-context premium), 128K output
  • +Mid-session system prompts (beta) โ€” injection-safe operator channel that preserves prompt cache
  • +Same API surface as Opus 4.7 โ€” drop-in upgrade with no new breaking changes
Limitations
  • !Adaptive thinking only โ€” no manual thinking budgets, no temperature/top_p sampling parameters
  • !More deliberate by default: asks clarifying questions more often unless granted explicit autonomy
  • !Narrates more between tool calls than 4.7 โ€” needs a silence-default prompt for terse agents
  • !Conservative about reaching for search, subagents, and custom tools without explicit triggering guidance
  • !Higher latency than Sonnet/Haiku tiers; fast mode doubles cost to $10/$50
Metadata
pricing
input: $5.00 per 1M tokens
output: $25.00 per 1M tokens
notes: Fast mode available at $10/$50 per 1M. 1M context at standard pricing with no long-context premium. Batch API 50% discount, prompt caching savings apply. Confirmed unchanged at $5/$25 as of 2026-07-09.
last verified: 2026-07-09
context window: 1000000
max output: 128000
languages
0: English
1: Spanish
2: French
3: German
4: Italian
5: Portuguese
6: Japanese
7: Korean
8: Chinese
9: Arabic
10: Hindi
modalities
0: text
1: image (input)
2: document
3: computer-use
api endpoint: https://api.anthropic.com/v1/messages
api model id: claude-opus-4-8
open source: false
architecture: Transformer-based with Constitutional AI alignment; adaptive thinking only with effort parameter including xhigh; same API surface as Opus 4.7
parameters: Not disclosed
knowledge cutoff: January 2026 (reliable knowledge and training data cutoff)
release date: 2026-05-28

Use Case Ratings

code generation

State-of-the-art long-horizon agentic coding; ~4x less likely to miss its own code flaws than Opus 4.7. Best value flagship for software engineering at $5/$25.

customer support

Excellent quality with warmer, clearer writing than Opus 4.7, but Sonnet/Haiku tiers are more cost-effective for routine volume.

content creation

Clearer, warmer, less hedged prose than prior Opus models โ€” approaches expert-level structure at higher effort.

data analysis

Strong analytical depth with 1M context for whole-dataset work; dynamic multi-subagent workflows fan out across large analyses.

research assistant

State-of-the-art knowledge work and memory; excels at multi-day research with file-based memory and 1M context.

legal compliance

Strong privacy posture (SOC 2 Type II, GDPR, HIPAA-eligible) and thorough long-document analysis at 1M context with no long-context premium.

healthcare

HIPAA eligible with training opt-out by default. Deliberate, uncertainty-flagging behavior suits clinical documentation.

financial analysis

Excellent quantitative reasoning and knowledge work; handles full filings and model workbooks in one context window.

education

Clear, warm explanations with effort-adjustable depth; strong thought-partner behavior that pushes back constructively.

creative writing

Warmer, less hedged voice with fewer AI vocal tics than 4.7. No sampling parameters โ€” variety must be prompted.