per 1M tokens
Qwen/Qwen3-Next-80B-A3B-Instruct
deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct
Over the past few months, we have observed increasingly clear trends toward scaling both total parameters and context lengths in the pursuit of more powerful and agentic artificial intelligence (AI). We are excited to share our latest advancements in addressing these demands, centered on improving scaling efficiency through innovative model architecture. We call this next-generation foundation models Qwen3-Next.
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.
No provider prices yet.
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$1.19 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.09/1M | $1.1/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.09 | $1.1 | Not published— |
| 2026-10-09 | token | $0.09 | $1.1 | Not published— |
| 2026-10-10 | token | $0.09 | $1.1 | Not published— |
| 2026-10-11 | token | $0.09 | $1.1 | Not published— |
| 2026-10-12 | token | $0.09 | $1.1 | Not published— |
| 2026-10-13 | token | $0.09 | $1.1 | Not published— |
| 2026-10-14 | token | $0.09 | $1.1 | Not published— |
| 2026-10-15 | token | $0.09 | $1.1 | Not published— |
| 2026-10-16 | token | $0.09 | $1.1 | Not published— |
| 2026-10-17 | token | $0.09 | $1.1 | Not published— |
| 2026-10-18 | token | $0.09 | $1.1 | Not published— |
| 2026-10-19 | token | $0.09 | $1.1 | Not published— |
| 2026-10-20 | token | $0.09 | $1.1 | Not published— |
| 2026-10-21 | token | $0.09 | $1.1 | Not published— |
| 2026-10-22 | token | $0.09 | $1.1 | Not published— |
| 2026-10-23 | token | $0.09 | $1.1 | Not published— |
| 2026-10-24 | token | $0.09 | $1.1 | Not published— |
| 2026-10-25 | token | $0.09 | $1.1 | Not published— |
| 2026-10-26 | token | $0.09 | $1.1 | Not published— |
| 2026-10-27 | token | $0.09 | $1.1 | Not published— |
| 2026-10-28 | token | $0.09 | $1.1 | Not published— |
| 2026-10-29 | token | $0.09 | $1.1 | Not published— |
| 2026-10-30 | token | $0.09 | $1.1 | Not published— |
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Parameters (2)
chatreasoning_effort
Call this model
OpenRouter id deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct. 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":"deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct","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: "deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct",
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": "deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct", "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())