Qwen3 Next 80B A3B Thinking · vercel
Qwen3-Next uses a highly sparse MoE design: 80B total parameters, but only ~3B activated per inference step. Experiments show that, with global load balancing, increasing total expert parameters while keeping activated experts fixed steadily reduces training loss.Compared to Qwen3’s MoE (128 total experts, 8 routed), Qwen3-Next expands to 512 total experts, combining 10 routed experts + 1 shared expert — maximizing resource usage without hurting performance. The Qwen3-Next-80B-A3B-Thinking excels at complex reasoning tasks — outperforming higher-cost models like Qwen3-30B-A3B-Thinking-2507 and Qwen3-32B-Thinking, outpeforming the closed-source Gemini-2.5-Flash-Thinking on multiple benchmarks, and approaching the performance of our top-tier model Qwen3-235B-A22B-Thinking-2507.
Eingabe, $/1M $0.15
Ausgabe, $/1M $1.20
Kontext 262 144
Max. Ausgabe 262 144
Akzeptiert Text
Zuletzt geprüft 04.11.2026 12:00:14 UTC
Quelle Seite des Anbieters
Preisalarme
API
OpenAI-kompatible API: Die offiziellen OpenAI-SDKs funktionieren mit dieser Basis-URL. Ersetzen Sie YOUR_API_KEY durch Ihren Schlüssel vom Anbieter.
| API-Basis-URL | |
|---|---|
| Endpunkt | |
| Modell-ID | |
curl
curl https://ai-gateway.vercel.sh/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "alibaba/qwen3-next-80b-a3b-thinking", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'Python
import requests
r = requests.post(
"https://ai-gateway.vercel.sh/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "alibaba/qwen3-next-80b-a3b-thinking",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
},
)
print(r.json())JavaScript
const r = await fetch("https://ai-gateway.vercel.sh/v1/chat/completions", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "alibaba/qwen3-next-80b-a3b-thinking",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}),
});
console.log(await r.json());Anfrage (JSON)
{
"model": "alibaba/qwen3-next-80b-a3b-thinking",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Antwort (JSON)
{
"id": "chatcmpl-...",
"object": "chat.completion",
"model": "alibaba/qwen3-next-80b-a3b-thinking",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hi! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}Die Adresse stammt aus der Modellliste des Anbieters; bitte mit seiner Dokumentation abgleichen.
Source: AI Rate Card, https://airatecard.com/de/c/offer%3Avercel%7Calibaba/qwen3-next-80b-a3b-thinking, prices checked 2026-11-04; seller's page: https://vercel.com/ai-gateway/models/qwen3-next-80b-a3b-thinking
Technische Details
ID: offer:vercel|alibaba/qwen3-next-80b-a3b-thinking