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10 bezmaksas kredīti (0,10 $), reģistrējies ar Google
Pieejams 24 stundas pēc reģistrācijas, līdz 5 palaišanas gadījumi dienā un maksimāli 2 kredīti uz palaišanas gadījumu. Citas pierakstīšanās metodes sākas bez kredītiem. Pietiek 16 šī modeļa palaišanām.
02
Par Claude Haiku 4.5
ĪsumāUz 2026. gada 23. septembris
Claude Haiku 4.5 ir Anthropic modelis kategorijā Multimodāls. Railwail platformā Claude Haiku 4.5 maksā 1,20 $ par 1M ievades tokeniem un 6,00 $ par 1M izvades tokeniem. Konteksta logs satur 200 000 žetonus, un viena atbilde var būt līdz 64 000 žetonu gara.
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.
Fons
Par Anthropic
Dibināts 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.
Parametri
Undisclosed (estimated tens of billions of parameters)
Konteksts
200 000 marķieri
Iespējas
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.
Licence: Proprietary commercial license via Anthropic API, Amazon Bedrock and Google Vertex AI.
Drošības pārbaudes: Same Responsible Scaling Policy ASL-3 safeguards as Sonnet and Opus, with constitutional classifiers and third-party evaluations.
Zināmi ierobežojumi
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 ir Anthropic izstrādāts modelis Multimodāls kategorijā. Railwail platformā varat to izsaukt ar API atslēgu, izmantojot Railwail API.
Cik maksā Claude Haiku 4.5 Railwail?
Railwail platformā Claude Haiku 4.5 maksā 1,20 $ par 1M ievades tokeniem un 6,00 $ par 1M izvades tokeniem. Jums tiek ņemta maksa par to, ko katra pieprasījuma izpilde faktiski izmanto. Izmantošana tiek apmaksāta no iepriekš nopirkto kredītu; 1 kredīts = 0,01 $.
Kāds ir Claude Haiku 4.5 konteksta logs?
Claude Haiku 4.5 konteksta logs satur 200 000 žetonus. Viena atbilde var būt līdz 64 000 žetonu gara.
Cik ātrs ir Claude Haiku 4.5?
Railwail platformā Claude Haiku 4.5 vēl nav pietiekami daudz izmērītu izpilžu, lai norādītu izpildes laiku. Tas ir atkarīgs no ievades, iestatījumiem un sniedzēja slodzes.
Vai Claude Haiku 4.5 ir labāks par BLIP?
Tas ir atkarīgs no uzdevuma. Claude Haiku 4.5 (Anthropic) un BLIP (Salesforce) ir abi modeļi Multimodāls kategorijā. Salīdzināšanas lapā to cenas un specifikācijas ir parādītas blakus.
Jā. Claude Haiku 4.5 pieņem attēlus kā ievadi papildus tekstam.
Kā es varu izmantot Claude Haiku 4.5 caur API?
Izveidojiet Railwail API atslēgu un nosūtiet savu pieprasījumu ar modeļa ID claude-haiku-4-5. Koda piemēri curl, Python un JavaScript ir šīs lapas API sadaļā.
