Claude 3 Haiku is the fastest and most affordable model in its intelligence class, processing roughly 21K tokens per second for prompts under 32K tokens. It includes vision capabilities for analyzing images alongside text, making it suited to customer support, document analysis, and many small concurrent tasks. With a 200K token context window, Haiku handles workloads like reviewing hundreds of legal cases or analyzing thousands of images cost effectively. The model prioritizes speed and efficiency while maintaining reliable performance on practical, everyday applications.
Claude 3 Haiku runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| EU | Zero data retention | No | $0.25 | $1.25 |
Claude 3 Haiku runs on a single route through the qynio gateway today, so its availability is that provider's availability.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting Claude 3 Haiku has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. EU; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Claude 3 Haiku through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "aws/claude-3-haiku-eu",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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