Hanzo · pro
Enso Flash
Fast, economical Enso tier for high-volume, low-latency everyday work, with 1M-context overflow.
Specifications
Context Window900K
Modalitiestext
Price…
Model IDenso-flash
Quick start
Get an API key →TypeScript
import OpenAI from 'openai'
const client = new OpenAI({
apiKey: process.env.HANZO_API_KEY,
baseURL: 'https://api.hanzo.ai/v1'
})
const response = await client.chat.completions.create({
model: 'enso-flash',
messages: [{ role: 'user', content: 'Hello!' }]
})
console.log(response.choices[0].message.content)Python
from openai import OpenAI
client = OpenAI(
api_key=os.environ["HANZO_API_KEY"],
base_url="https://api.hanzo.ai/v1"
)
response = client.chat.completions.create(
model="enso-flash",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)cURL
curl https://api.hanzo.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $HANZO_API_KEY" \
-d '{
"model": "enso-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'Go
package main
import (
"context"
"fmt"
"os"
"github.com/sashabaranov/go-openai"
)
func main() {
cfg := openai.DefaultConfig(os.Getenv("HANZO_API_KEY"))
cfg.BaseURL = "https://api.hanzo.ai/v1"
client := openai.NewClientWithConfig(cfg)
resp, _ := client.CreateChatCompletion(context.Background(),
openai.ChatCompletionRequest{
Model: "enso-flash",
Messages: []openai.ChatCompletionMessage{
{Role: openai.ChatMessageRoleUser, Content: "Hello!"},
},
},
)
fmt.Println(resp.Choices[0].Message.Content)
}More from Hanzo
Enso
Hanzo's proprietary frontier model — Opus-class reasoning by default with 1M-context overflow.
Enso (enso-auto)
Routes each request to one tier by the reasoning depth it asks for: enso-flash at off, none, minimal, low, default; enso-pro at medium, high; enso-ultra at xhigh, max. It bills at the price of the tier that answers; the price shown is a request's that states no depth. When nothing pays for that tier it answers on enso-free, at no charge, and says so.
enso-free
enso-pro
Enso Ultra
Adaptive fan-out — probes a task-appropriate model, escalates to a top-K panel only when needed, then verifies-then-selects the best answer.
free
Use Enso Flash via Hanzo AI
One API key. Every major model. OpenAI-compatible. Start free.