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ZelixAI Tokenomics  ›  Model profile

Claude Haiku 4.5

Lightning-fast and cheap for short interactions and classification.

via Anthropic →

What is this model?

Claude Haiku 4.5 is the fastest Claude in the Anthropic family. The 4.5 generation is specifically trained for low latency and high throughput without major compromises on quality. With a 200K-token context window and high tokens-per-second rate, this is the model we deploy within ZelixAI wherever response time bumps against human-perception limits.

Strengths

Strengths: lightning-fast inference (100–150 tokens/sec), cheapest Claude per token, strong in classification tasks (intent detection, tag assignment), short responses without over-explanation, and excellent for real-time interactions where a human expects a response within 1 second.

Best suited for

  • General customer questions and chatbot conversations
  • Fast classification and routing
  • Real-time interactions with low latency

How ZelixAI uses this model

We deploy Haiku 4.5 within ZelixAI for live chat with immediate-response expectations, intent routing for customer service (which team, which priority), classification of inbound emails or tickets, and short conversational steps where Sonnet 4 would be overkill.

Real-world examples within ZelixAI

Concrete praktijkvoorbeelden voor dit model worden binnenkort hier gepubliceerd. Stel intussen vragen via onze contactpagina — we delen graag relevante use-cases uit onze klantbasis.

Limitations and caveats

Limitations: US cloud provider — not for strict EU data residency. Less capable than Sonnet 4 on long documents, complex multi-step reasoning or nuance-heavy content creation. For research questions or contract analysis: use Sonnet 4 or Opus 4.

Technical specifications

Provider Anthropic
Context window 200K tokens
Throughput 100+ tokens/s (Very fast)
Cost tier Mid-range
Tool / function-calling yes
Data residency United States (cloud provider)

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