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Claude Opus 4.8

Anthropic’s current premium Opus model for complex reasoning, long-horizon agentic coding, and high-autonomy professional work.

Claude Opus 4 Released 2026-05-28 Updated May 31, 2026
Post Reboot Practical Scores

Capability profile

90.9
Reasoning 96.0
Coding 96.0
Writing 95.0
Speed 83.0
Cost efficiency 60.0
Image understanding 90.0
Pricing
Input
$5 / 1M tokens
Output
$25 / 1M tokens
Cached input
$0.50 / 1M tokens cache hits; $6.25 5m cache writes; $10 1h cache writes
Context
1M tokens
Free tier
No / unknown
API
Available
Subscription
Claude paid plans and enterprise surfaces; available through Claude API and partner clouds per docs
Open-source status
Closed
Best Use Cases
Best for
  • High-autonomy agentic coding
  • complex reasoning
  • careful professional analysis
  • and long-context workflows where reliability matters.
Best workflows
  • Claude Code
  • long-running agent workflows
  • multi-step codebase work
  • high-stakes document analysis
  • and professional reasoning tasks.
Weakest at
  • Budget-sensitive high-volume inference and simple tasks where Sonnet/Haiku-class models are sufficient.
Not ideal for
  • Cheap bulk summarization
  • simple chatbots
  • or latency/cost-sensitive commodity workloads.
Post Reboot Take

Opus 4.8 looks like Anthropic's current premium reliability play: less about raw novelty than making high-autonomy agent work steadier, sharper, and easier to trust.

Anthropic’s current premium Opus model for complex reasoning, long-horizon agentic coding, and high-autonomy professional work.

Post Reboot take

Opus 4.8 looks like Anthropic’s current premium reliability play: less about raw novelty than making high-autonomy agent work steadier, sharper, and easier to trust.

Strengths

Best for: High-autonomy agentic coding, complex reasoning, careful professional analysis, and long-context workflows where reliability matters.

Weakest at: Budget-sensitive high-volume inference and simple tasks where Sonnet/Haiku-class models are sufficient.

Best workflows: Claude Code, long-running agent workflows, multi-step codebase work, high-stakes document analysis, and professional reasoning tasks.

Example use cases: Codebase-scale migrations, autonomous engineering investigations, legal/financial document workflows, data-agent reasoning, and deep technical review.

Sources used for this profile