AI Model Profile
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic's Haiku-tier model described in official docs as the fastest current model with near-frontier intelligence.
Verification & Sources
- Status
- Verified
- Source links
- 3
- Freshness
- Verified June 18, 2026
- Last verified
- June 18, 2026
- Last updated
- June 17, 2026
Key source checks
Suggest a correction
Benchmark Caveat
Provider documentation and provider-published capability notes are directional, not universal rankings. Real results depend on prompts, tools, latency targets, pricing tier, safety filters, context length, and workload mix.
Best for
Candidate for fast Claude API workflows, lighter agents, and cost-sensitive business automation.
Skip if
Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.
Strengths
Official docs list the lowest Claude pricing among the latest comparison table and fastest comparative latency.
Weaknesses
This profile does not claim it matches Opus or Sonnet on complex tasks; validate on target workloads.
Agent suitability
Candidate for lightweight or high-volume agent subtasks where latency and cost matter.
Kingy AI take
Use this profile as a source-backed reference point, not a ranking. Re-check official provider docs before making production or budget decisions.
Full Model Notes
Claude Haiku 4.5 is Anthropic’s Haiku-tier model described in official docs as the fastest current model with near-frontier intelligence.
Coding notes
Evaluate on coding subtasks rather than assuming frontier coding depth.
Reasoning notes
Official docs list extended thinking support, but not adaptive thinking for Haiku 4.5.
Creative notes
Supports text and image input according to Anthropic Claude docs.
Research notes
Candidate for shorter research and classification tasks with source review.
API pricing notes
$1 input MTok and $5 output MTok in Anthropic model overview as checked on 2026-06-18.
License notes
Review the official provider terms and model documentation before relying on license or redistribution assumptions.
