Fakturuje sa počet skutočne použitých tokenov; nepoužitá časť rezervácie sa vráti.
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10 bezplatných credits (0,10 USD) pri registrácii cez Google
Použiteľné 24 hodín po registrácii, až 5 behov za deň a maximálne 2 credits za beh. Ostatné spôsoby prihlásenia sa spúšťajú bez credits. Stačí na 16 spustení tohto modelu.
02
O Claude Haiku 4.5
StručneK 23. septembra 2026
Claude Haiku 4.5 je model od Anthropic v kategórii Multimodálne. Na Railwail stojí Claude Haiku 4.5 1,20 USD za 1M vstupných tokenov a 6,00 USD za 1M výstupných tokenov. Kontextné okno obsahuje 200 000 tokenov a jedna odpoveď môže byť dlhá až 64 000 tokenov.
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.
Pozadie
O Anthropic
Založené 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.
Parametre
Undisclosed (estimated tens of billions of parameters)
Kontext
200 000 tokenov
Schopnosti
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.
Licencia: Proprietary commercial license via Anthropic API, Amazon Bedrock and Google Vertex AI.
Bezpečnostné testy: Same Responsible Scaling Policy ASL-3 safeguards as Sonnet and Opus, with constitutional classifiers and third-party evaluations.
Známe obmedzenia
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 je model od Anthropic v kategórii Multimodálne. Na Railwail ho môžete volať pomocou API kľúča cez Railwail API.
Koľko stojí Claude Haiku 4.5 na Railwail?
Na Railwail stojí Claude Haiku 4.5 1,20 USD za 1M vstupných tokenov a 6,00 USD za 1M výstupných tokenov. Platíte za to, čo každý požiadavok skutočne spotrebuje. Použitie sa platí z predplateného kreditu; 1 kredit sa rovná 0,01 USD.
Aké je kontextné okno Claude Haiku 4.5?
Kontextné okno Claude Haiku 4.5 obsahuje 200 000 tokenov. Jedna odpoveď môže byť dlhá až 64 000 tokenov.
Ako rýchly je Claude Haiku 4.5?
Pre Claude Haiku 4.5 je na Railwail zatiaľ príliš málo meraných spustení na určenie doby spustenia. Závisí to od vstupu, nastavení a zaťaženia u poskytovateľa.
Je Claude Haiku 4.5 lepší ako BLIP?
Závisí to od úlohy. Claude Haiku 4.5 (Anthropic) a BLIP (Salesforce) sú oba modely v kategórii Multimodálne. Stránka porovnania zobrazuje ich ceny a špecifikácie vedľa seba.
Áno. Claude Haiku 4.5 akceptuje obrázky ako vstup okrem textu.
Ako používam Claude Haiku 4.5 cez API?
Vytvorte Railwail API kľúč a pošlite svoju požiadavku s ID modelu claude-haiku-4-5. Príklady kódu pre curl, Python a JavaScript sú v časti API na tejto stránke.
