Claude Haiku 4.5 — Especificações
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desenvolvedor | Anthropic |
|---|---|
| Tipo | LLM |
| Modalidade | Texto, Visão → Texto |
| Parâmetros | Não divulgado |
| Janela de contexto | 200 mil |
| Saída máxima | 64K |
| Licença | Proprietário |
| Pesos abertos | Não |
| Lançado | 2025 |
| Preço da entrada | $1.00 /1M |
| Preço da saída | $5.00 /1M |
| Provedores de API | Anthropic, AWS, Vertex AI, Azure |
What is Claude Haiku 4.5?
Claude Haiku 4.5 is Anthropic’s fast, low-cost tier: $1 per million input tokens and $5
per million output, with a 200K context window and 64K maximum output. It is built for the
high-volume, latency-sensitive end of a workload — classification, extraction, routing,
short-form generation, and the thousands of small calls an application makes that never
needed a frontier model in the first place.
Haiku’s real job in most production systems is to absorb traffic. A blended cost of about
$1.80 per million tokens means it can handle an order of magnitude more requests than an
Opus-tier model for the same money, which is why the standard architecture is Haiku in
front, escalating to Sonnet or Opus only when a confidence check fails. The 200K context is
the one place it is genuinely narrower than its siblings — the Sonnet and Opus tiers reach
1M — so document-scale work that needs the whole corpus in one prompt belongs elsewhere.
For everything that fits, Haiku 4.5 is usually the correct default, and treating it as the
baseline rather than the fallback is what keeps an AI feature’s unit economics viable.
Claude Haiku 4.5 pricing: API cost per 1M tokens
| Entrada (por 1 milhão de tokens) | $1.00 |
|---|---|
| Saída (por 1 milhão de tokens) | $5.00 |
| Razão saída/entrada | 5× |
| Misturada (4:1 entrada:saída) | $1.80 por 1 milhão de tokens |
What Claude Haiku 4.5 costs per month
Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.
| Carga de trabalho | Tokens/mês | Custo por mês |
|---|---|---|
| Projeto paralelo | 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída | $2.25 |
| Equipe pequena | 20 milhões de tokens de entrada / 5 milhões de tokens de saída | $45 |
| Produção | 200 milhões de tokens de entrada / 50 milhões de tokens de saída | $450 |
Calcule seus próprios números na Calculadora de custos de API de IA.
Cheaper alternatives to Claude Haiku 4.5
| Modelo | Custo médio ponderado por US$ 1 milhão | Você economiza |
|---|---|---|
| DeepSeek V4-Pro aberta | $0.522 | 71% mais barato |
| Kimi K2.7 Code aberta | $0.980 | 46% mais barato |
| DeepSeek V4-Flash aberta | $0.168 | 91% cheaper |
Perguntas frequentes
How much does Claude Haiku 4.5 cost per 1M tokens?
Claude Haiku 4.5 costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $1.80 per 1M tokens.
How much does Claude Haiku 4.5 cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $45 on Claude Haiku 4.5. A side project (1M in / 0.25M out) costs roughly $2.25.
What is a cheaper alternative to Claude Haiku 4.5?
DeepSeek V4-Pro is the strongest cheaper option in our database at $0.522 per 1M blended — about 71% less than Claude Haiku 4.5. It is also open-weight, so self-hosting is an option.
Can I run Claude Haiku 4.5 locally?
No. Claude Haiku 4.5 is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does Claude Haiku 4.5 charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Claude Haiku 4.5 charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Veja todos os modelos Claude com preços comparados lado a lado: Preços da API Claude.
Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.