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02
Om Claude Haiku 4.5
Kort sagtFrån och med 23 september 2026
Claude Haiku 4.5 är en modell av Anthropic i kategorin Multimodal. På Railwail kostar Claude Haiku 4.5 1,20 US$ per 1M inmatningstoken och 6,00 US$ per 1M utmatningstoken. Kontextfönstret innehåller 200 000 tokens, och ett svar kan vara upp till 64 000 tokens långt.
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.
Bakgrund
Om Anthropic
Grundat 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.
Parameter
Undisclosed (estimated tens of billions of parameters)
Kontext
200 000 tokens
Funktioner
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.
Licens: Proprietary commercial license via Anthropic API, Amazon Bedrock and Google Vertex AI.
Säkerhetstestning: Same Responsible Scaling Policy ASL-3 safeguards as Sonnet and Opus, with constitutional classifiers and third-party evaluations.
Kända begränsningar
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 $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-haiku-4-5",
"messages": [
{
"role": "user",
"content": "Explain what a vector database is in two sentences."
}
],
"max_tokens": 1024
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
completion = client.chat.completions.create(
model="claude-haiku-4-5",
messages=[
{
"role": "user",
"content": "Explain what a vector database is in two sentences.",
},
],
max_tokens=1024,
)
print(completion.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const completion = await client.chat.completions.create({
model: "claude-haiku-4-5",
messages: [
{
role: "user",
content: "Explain what a vector database is in two sentences."
}
],
max_tokens: 1024
});
console.log(completion.choices[0].message.content);
// npm install railwail
import railwail from "railwail";
const rw = railwail(process.env.RAILWAIL_API_KEY);
const res = await rw.chat("claude-haiku-4-5", [
{ role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });
console.log(res.choices[0].message.content);
Claude Haiku 4.5 är en modell av Anthropic i kategorin Multimodal. På Railwail kan du anropa den med en API-nyckel via Railwail API.
Vad kostar Claude Haiku 4.5 på Railwail?
På Railwail kostar Claude Haiku 4.5 1,20 US$ per 1M inmatningstoken och 6,00 US$ per 1M utmatningstoken. Du debiteras för det som varje begäran faktiskt använder. Användningen betalas från förbetald kredit; 1 kredit motsvarar 0,01 US$.
Hur stort är kontextfönstret för Claude Haiku 4.5?
Kontextfönstret för Claude Haiku 4.5 innehåller 200 000 tokens. Ett svar kan vara upp till 64 000 tokens långt.
Hur snabb är Claude Haiku 4.5?
Det finns ännu inte tillräckligt många uppmätta körningar av Claude Haiku 4.5 på Railwail för att ange en körningstid. Det beror på inmatningen, inställningarna och belastningen hos leverantören.
Är Claude Haiku 4.5 bättre än BLIP?
Det beror på uppgiften. Claude Haiku 4.5 (Anthropic) och BLIP (Salesforce) är båda modeller i kategorin Multimodal. Jämförelsesidan visar deras priser och specifikationer sida vid sida.
Ja. Claude Haiku 4.5 accepterar bilder som inmatning utöver text.
Hur använder jag Claude Haiku 4.5 via API:et?
Skapa en Railwail API-nyckel och skicka din begäran med modell-ID:t claude-haiku-4-5. Kodexempel för curl, Python och JavaScript finns i API-avsnittet på denna sida.
