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Anthropic Active

Claude Opus 4.7

Anthropic’s most capable generally available Claude model for complex reasoning and agentic coding.

Claude 4 Updated May 20, 2026
Post Reboot Practical Scores

Capability profile

90.0
Reasoning 95.0
Coding 95.0
Writing 94.0
Speed 82.0
Cost efficiency 60.0
Image understanding 89.0
Pricing
Input
$5 / MTok
Output
$25 / MTok
Cached input
$0.50 / MTok cache hit
Context
1M tokens
Free tier
No / unknown
API
Available
Subscription
Claude API, claude.ai, Bedrock, Vertex AI, Foundry
Open-source status
Closed
Best Use Cases
Best for
  • Complex reasoning
  • high-end coding
  • and long-context tasks where reliability and depth matter.
Best workflows
  • Agentic coding
  • document-heavy research
  • tool-assisted analysis
  • and long-session enterprise reasoning.
Weakest at
  • Cheap scaling and ultra-fast low-cost inference.
Not ideal for
  • Simple high-volume automations where Sonnet or Haiku class models are enough.
Post Reboot Take

Opus is the Claude you use when you want fewer compromises. It is expensive, but it feels built for serious knowledge work rather than casual throughput.

Anthropic’s most capable generally available Claude model for complex reasoning and agentic coding.

Post Reboot take

Opus is the Claude you use when you want fewer compromises. It is expensive, but it feels built for serious knowledge work rather than casual throughput.

Strengths

Best for: Complex reasoning, high-end coding, and long-context tasks where reliability and depth matter.

Weakest at: Cheap scaling and ultra-fast low-cost inference.

Best workflows: Agentic coding, document-heavy research, tool-assisted analysis, and long-session enterprise reasoning.

Example use cases: Code planning, architecture review, policy analysis, document synthesis, and premium internal assistants.

Sources used for this profile