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Claude Haiku 4.5

Claude Haiku 4.5 matches Claude Sonnet 4's performance on coding, computer use, and agent tasks at substantially lower cost and faster speeds, making it a high-capability model in the Haiku line for high-throughput agentic deployments.

File InputReasoningTool UseVision (Image)Explicit Caching
index.ts
import { streamText } from 'ai'
const result = streamText({
model: 'anthropic/claude-haiku-4.5',
prompt: 'Why is the sky blue?'
})

Frequently Asked Questions

  • What does it mean that Haiku 4.5 matches Sonnet 4 performance on coding and agent tasks?

    Claude Haiku 4.5 delivers equivalent performance to Sonnet 4 on coding, computer use, and agent tasks at lower cost and faster speeds. Run your own benchmarks against your specific workloads to validate this for your use case.

  • How do I use Claude Haiku 4.5 in the AI SDK?

    Set the model to anthropic/claude-haiku-4.5 in your AI SDK v5 integration. No other code changes are required for the common case.

  • Which providers back Claude Haiku 4.5 on AI Gateway?

    AI Gateway routes Haiku 4.5 through anthropic, bedrock, vertexAnthropic, with automatic failover for higher-than-provider-average uptime.

  • Does Claude Haiku 4.5 support computer use?

    Yes. Claude Haiku 4.5 matches Sonnet 4's performance on computer use tasks.

  • What is the latency profile for Haiku 4.5 through AI Gateway?

    AI Gateway surfaces live performance data on this page, including throughput and time-to-first-token metrics that update based on actual traffic.

  • Can I use Haiku 4.5 as a drop-in replacement for Sonnet 4 in my agent pipeline?

    For coding, computer use, and agent tasks where benchmarks align, it may function as a drop-in with cost savings. Test against your specific workflows. General benchmark parity doesn't guarantee equivalent performance on every task profile.

  • What observability does AI Gateway provide for Haiku 4.5 usage?

    AI Gateway tracks usage and cost per request, enabling cost attribution across pipeline stages and budget management without additional instrumentation.