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Claude 3.5 Haiku

Claude 3.5 Haiku was the model that first proved a Haiku-tier release could match Opus-class performance, scoring strong results on SWE-bench Verified and redefining expectations for what fast, affordable models could accomplish on real engineering tasks.

File InputTool UseVision (Image)Explicit Caching
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'anthropic/claude-3.5-haiku',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What made Claude 3.5 Haiku historically significant within Anthropic's lineup?

    It was the first Haiku-class model to reach Opus-level benchmark performance. Before 3.5 Haiku, the fast tier meant a clear capability step-down. This model proved that post-training techniques could close the gap between the smallest and largest models in a generation.

  • How does the 40.6% SWE-bench Verified score translate to real-world coding work?

    SWE-bench Verified tests a model's ability to read natural language bug reports and feature requests, navigate real open-source codebases, and produce working patches. A 40.6% score means the model successfully resolved that proportion of real software engineering tasks drawn from production repositories.

  • Was the December 2024 pricing change an increase or decrease from launch?

    Rates are listed on this page. They reflect the providers routing through AI Gateway and shift when providers update their pricing.

  • What kinds of sub-agent tasks is 3.5 Haiku well suited for?

    Narrow, well-defined tasks within a larger pipeline: data extraction, format conversion, classification, schema validation, and structured tool invocation. Low latency and strong instruction following make it effective for the high-frequency, low-ambiguity work that sub-agents typically handle.

  • Does Claude 3.5 Haiku handle multilingual inputs?

    The model processes multilingual text, though its primary optimization targets are English-language tasks. For workloads where multilingual instruction following is the central requirement, evaluate against benchmark results for your specific languages.

  • What is the practical difference between 3.5 Haiku and later Haiku generations for new projects?

    Claude 3.5 Haiku is a Claude 3.5 generation model. Later Haiku releases build on newer base architectures with different capability profiles. For new projects, compare the specific benchmarks and feature sets relevant to your workload rather than assuming the newer generation is universally better.