per 1M tokens
Macaron V1 Venti
novita/mindai/macaron-v1-venti
Macaron-V1-Venti is a 748B-parameter flagship model in the Macaron-V1 family, built for personal intelligence, tool use, coding workflows, and code-native Generative UI. The model uses a Mixture of LoRA (MoL) architecture on top of GLM-5.2, consisting of a 744B-parameter base model and four 1B-parameter LoRA specialists. The specialists cover chat, personal-agent tasks, coding, and GenUI, with an L0 router selecting the most suitable specialist for each new user request.
Price
per 1M tokens
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| Novita | — | — | $0.825/1M | $2.475/1M | 1.0M | — | Listed | novita |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$3.30 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.825/1M | $2.475/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.825 | $2.475 | Not published— |
| 2026-10-09 | token | $0.825 | $2.475 | Not published— |
| 2026-10-10 | token | $0.825 | $2.475 | Not published— |
| 2026-10-11 | token | $0.825 | $2.475 | Not published— |
| 2026-10-12 | token | $0.825 | $2.475 | Not published— |
| 2026-10-13 | token | $0.825 | $2.475 | Not published— |
| 2026-10-14 | token | $0.825 | $2.475 | Not published— |
| 2026-10-15 | token | $0.825 | $2.475 | Not published— |
| 2026-10-16 | token | $0.825 | $2.475 | Not published— |
| 2026-10-17 | token | $0.825 | $2.475 | Not published— |
| 2026-10-18 | token | $0.825 | $2.475 | Not published— |
| 2026-10-19 | token | $0.825 | $2.475 | Not published— |
| 2026-10-20 | token | $0.825 | $2.475 | Not published— |
| 2026-10-21 | token | $0.825 | $2.475 | Not published— |
| 2026-10-22 | token | $0.825 | $2.475 | Not published— |
| 2026-10-23 | token | $0.825 | $2.475 | Not published— |
| 2026-10-24 | token | $0.825 | $2.475 | Not published— |
| 2026-10-25 | token | $0.825 | $2.475 | Not published— |
| 2026-10-26 | token | $0.825 | $2.475 | Not published— |
| 2026-10-27 | token | $0.825 | $2.475 | Not published— |
| 2026-10-28 | token | $0.825 | $2.475 | Not published— |
| 2026-10-29 | token | $0.825 | $2.475 | Not published— |
| 2026-10-30 | token | $0.825 | $2.475 | Not published— |
Alternatives
- Google: Gemini 3.8 Flash$0.825/1M · Compare
- DeepSeek: DeepSeek V4 Pro 0423$0.8162/1M · Compare
- Hunyuan 4 Preview$0.834/1M · Compare
- Hy4 Preview$0.834/1M · Compare
- tencent/Hy4-preview$0.834/1M · Compare
- Tencent: Hy4 Preview$0.834/1M · Compare
Call this model
OpenRouter id novita/mindai/macaron-v1-venti. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"novita/mindai/macaron-v1-venti","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "novita/mindai/macaron-v1-venti",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "novita/mindai/macaron-v1-venti", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())