Cobrado pelos tokens realmente utilizados; a parte não utilizada da reserva é reembolsada.
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10 créditos grátis (US$ 0,10) ao se inscrever com Google
Utilizável 24 horas após inscrição, até 5 execuções por dia e no máximo 2 créditos por execução. Outros métodos de login começam sem créditos. Suficiente para 16 execuções deste modelo.
02
Sobre Claude Haiku 4.5
ResumoA partir de 23 de setembro de 2026
Claude Haiku 4.5 é um modelo de Anthropic na categoria Multimodal. No Railwail, Claude Haiku 4.5 custa US$ 1,20 por 1M tokens de entrada e US$ 6,00 por 1M tokens de saída. A janela de contexto contém 200.000 tokens, e uma resposta pode ter até 64.000 tokens.
Claude Haiku 4.5 brings Sonnet-class reliability to the cost-and-latency tier. 200K context, full vision input, native tool use and extended thinking on demand. Designed for high-volume agents, real-time chat, classification, simple coding subagents, and consumer applications where p50 latency matters more than peak reasoning.
Fundo
Sobre Anthropic
Fundado em 2021 · San Francisco, USA
Anthropic was founded in 2021 by Dario and Daniela Amodei. The Claude model family launched in March 2023 with Haiku as the lightweight tier optimized for low latency and cost. Successive Haiku generations have steadily closed the gap to Sonnet: Haiku 3 (March 2024), Haiku 3.5 (October 2024), Haiku 4 (May 2025) and Haiku 4.5 (late 2025/early 2026). Anthropic is structured as a Public Benefit Corporation focused on AI safety, with total funding exceeding $20 billion and a 2026 valuation above $150 billion.
Claude Haiku 4.5 is the fastest and cheapest model in the Claude 4.x family. Architecturally it is a smaller decoder-only Transformer distilled from the Sonnet/Opus 4 training stack, optimized aggressively for inference latency and throughput while retaining the full Claude feature set (vision, extended thinking, tool use). It was trained on the same multi-trillion-token curated corpus as its larger siblings with a knowledge cutoff in early 2026. Post-training combined RLHF, Constitutional AI, RLAIF and distillation from larger teacher models. Despite its small size, Haiku 4.5 supports the same 200K context window and tool-use API as Sonnet 4.6 and Opus 4.7, making it a drop-in cheaper option for high-concurrency workloads.
Parâmetros
Undisclosed (estimated tens of billions of parameters)
Contexto
200.000 tokens
Capacidades
Lowest p50 latency in the Claude 4.x family
200K token context window matching the larger Claude models
Vision input for images, PDFs and screenshots
Native tool use with parallel tool calling
Optional extended thinking mode for harder reasoning tasks
Sonnet-class reliability at one-third the cost
Strong instruction following and structured JSON output
Constitutional-AI alignment with low refusal rate
Available via Anthropic API, Bedrock and Vertex AI
Pretrained on the same curated multi-trillion-token mixture used by Sonnet and Opus 4.x. Post-training includes distillation from larger Anthropic models alongside RLHF, Constitutional AI and RLAIF. Knowledge cutoff in early 2026.
Licença: Proprietary commercial license via Anthropic API, Amazon Bedrock and Google Vertex AI.
Testes de segurança: Same Responsible Scaling Policy ASL-3 safeguards as Sonnet and Opus, with constitutional classifiers and third-party evaluations.
Limitações conhecidas
Below Sonnet 4.6 on hard reasoning and agentic coding benchmarks
No native audio or video input
Knowledge cutoff in early 2026
Less depth on niche or long-tail topics than larger models
curl https://railwail.com/api/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-haiku-4-5",
"messages": [
{
"role": "user",
"content": "Explain what a vector database is in two sentences."
}
],
"max_tokens": 1024
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
completion = client.chat.completions.create(
model="claude-haiku-4-5",
messages=[
{
"role": "user",
"content": "Explain what a vector database is in two sentences.",
},
],
max_tokens=1024,
)
print(completion.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const completion = await client.chat.completions.create({
model: "claude-haiku-4-5",
messages: [
{
role: "user",
content: "Explain what a vector database is in two sentences."
}
],
max_tokens: 1024
});
console.log(completion.choices[0].message.content);
// npm install railwail
import railwail from "railwail";
const rw = railwail(process.env.RAILWAIL_API_KEY);
const res = await rw.chat("claude-haiku-4-5", [
{ role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });
console.log(res.choices[0].message.content);
Claude Haiku 4.5 é um modelo de Anthropic na categoria Multimodal. No Railwail você pode chamá-lo com uma chave de API através da API Railwail.
Quanto custa Claude Haiku 4.5 no Railwail?
No Railwail, Claude Haiku 4.5 custa US$ 1,20 por 1M tokens de entrada e US$ 6,00 por 1M tokens de saída. Você é cobrado pelo que cada solicitação realmente usa. O uso é pago com créditos pré-pagos; 1 crédito equivale a US$ 0,01.
Qual é a janela de contexto de Claude Haiku 4.5?
A janela de contexto de Claude Haiku 4.5 contém 200.000 tokens. Uma resposta pode ter até 64.000 tokens.
Qual é a velocidade de Claude Haiku 4.5?
Ainda não há execuções medidas suficientes de Claude Haiku 4.5 no Railwail para indicar um tempo de execução. Depende da entrada, das configurações e da carga no provedor.
Claude Haiku 4.5 é melhor que BLIP?
Depende da tarefa. Claude Haiku 4.5 (Anthropic) e BLIP (Salesforce) são ambos modelos na categoria Multimodal. A página de comparação mostra seus preços e especificações lado a lado.
Sim. Claude Haiku 4.5 aceita imagens como entrada além de texto.
Como uso Claude Haiku 4.5 através da API?
Crie uma chave de API Railwail e envie sua solicitação com o ID do modelo claude-haiku-4-5. Exemplos de código para curl, Python e JavaScript estão na seção API desta página.
