Anthropic's three-tier strategy

Anthropic structures its Claude 3.5 family in three tiers: Haiku (speed and cost), Sonnet (balance) and Opus (maximum intelligence). The naming follows poetic format: a haiku is short and precise, a sonnet has structure and depth, an opus is grand work.

The strategy responds to a reality: most production traffic doesn't need the largest model. A customer service classifier or message extractor needs speed and reliability, not philosophical reasoning.

Performance vs price: the economic argument

$0.80
Per million tokens
input
$4
Per million tokens
output
~3×
Faster
than Sonnet

The cost difference vs. Sonnet ($3/$15) is significant: Haiku is ~4× cheaper and ~3× faster. For applications with millions of daily inferences (classifiers, simple chatbots, data extractors), it changes business economics.

When to use Haiku vs Sonnet vs Opus

Haiku is right when: classifying messages, routing tickets, extracting structured data from clean inputs, generating simple short responses, summarizing brief content, FAQ chatbots.

Sonnet is right when: complex analysis with nuance, generation of articulated long content, code with deep reasoning, agents that follow multi-step instructions.

Opus is right when: rare cases requiring maximum reasoning: legal research, scientific analysis, complex strategy. Most applications don't need it.

Technical comparison

In specific benchmarks, Haiku is surprisingly competitive: HumanEval at 85% (Sonnet 92%), GSM8K (math) at 88%, native multimodality with image support. The trade-off appears in tasks requiring deep reasoning, where Sonnet pulls ahead clearly.

Production integration

Haiku is available via Anthropic API as claude-3-5-haiku-20241022, Amazon Bedrock and Vertex AI. Latency typically below 500ms for simple responses. Tool use, function calling and JSON mode supported.

At VuraOS we use Haiku for the message classification layer and for first-contact chatbots. Sonnet enters for cases requiring reasoning or escalation.

Conclusion

Claude 3.5 Haiku is one of those models that doesn't make headlines but eats production. For most enterprise applications, it's now the right default: fast, cheap, capable enough. Save Sonnet for when you really need it.