AI Model Profile
Claude Opus 5
Claude Opus 5 is Anthropic's recommended default model for complex agentic coding and enterprise work, with a 1M-token context window and 128K maximum output.
- Family
- Claude
- Release date
- Unknown
- Status
- Current
- Context window
- 1M tokens
- Output limit
- 128K tokens
- API
- yes
- Open weights
- no
- Local/self-hosted
- no
- Pricing
- $5 per million input tokens, $25 per million output tokens. See the official pricing page for Batch API discounts and prompt-caching rates; rates can vary by endpoint, region, tier, and partner platform.
- Evidence state
- Recheck due
Benchmark Caveat
Benchmarks and provider capability notes are directional, not universal rankings. Results can shift with prompts, tool use, latency targets, pricing tier, safety filters, context length, and the workload mix a real team runs.
See the linked official model, docs, model-card, or pricing source for provider-published capability notes.
Best for
Teams doing complex agentic coding and enterprise work. Anthropic's own model overview names Opus 5 as the model to start with.
Skip if
Skip if Claude Sonnet 5 or Haiku 4.5 meet the task at lower cost, or if open weights are required.
Strengths
Anthropic lists Opus 5 with a 1M-token context window, 128K max output, adaptive thinking, and a May 2026 reliable knowledge cutoff, the most recent in the Claude line. Available on the Claude API, Amazon Bedrock, Claude Platform on AWS, Google Cloud, and Microsoft Foundry.
Weaknesses
Extended thinking is not supported; adaptive thinking replaces it. High-end Claude usage requires cost controls, a prompt-caching strategy, and model-specific evals.
Agent suitability
Useful for agent workflows when the provider supports tool use, long context, structured outputs, or workflow-specific APIs.
Kingy AI take
Use this as a source-backed shortlist candidate, not a universal ranking. Re-check official provider docs and run a task-specific trial before production adoption.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 3
- Freshness
- Needs recheck: checked July 25, 2026
- Last updated
- July 25, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Coding notes
Use official docs and live evals before selecting this model for production coding workflows.
Reasoning notes
Provider capability notes are useful but should be validated on representative prompts and tools.
Creative notes
Use a small creative test set before standardizing outputs for brand, media, or customer-facing work.
Research notes
Track release notes and model lifecycle notices because availability and aliases can change.
API pricing notes
Check the official pricing page before budget decisions; Kingy does not freeze token, credit, or subscription prices in model cards.
License notes
Commercial/API terms apply unless the linked official source states otherwise.
Hardware requirements
Cloud/API model; local hardware requirements are not published as a self-hosted path.
Official Model Links
Model Intelligence Research Map
Use these internal paths to move from this model profile into provider pages, static comparison pages, related Kingy records, and the broader AI launch graph. These are research paths, not rankings.