per 1M tokens
Qwen3.6 35B A3B
novita/qwen/qwen3.6-35b-a3b
The Qwen3.6 35B-A3B native vision-language model is built on a hybrid architecture that integrates linear attention mechanisms with a sparse mixture-of-experts framework, achieving higher inference efficiency. Compared with the 3.5-35B-A3B, this model demonstrates significantly improved agentic coding capabilities, mathematical and code reasoning abilities, spatial intelligence, as well as object localization and object detection performance.
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.
$1.73 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.248/1M | $1.485/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.248 | $1.485 | Not published— |
| 2026-10-09 | token | $0.248 | $1.485 | Not published— |
| 2026-10-10 | token | $0.248 | $1.485 | Not published— |
| 2026-10-11 | token | $0.248 | $1.485 | Not published— |
| 2026-10-12 | token | $0.248 | $1.485 | Not published— |
| 2026-10-13 | token | $0.248 | $1.485 | Not published— |
| 2026-10-14 | token | $0.248 | $1.485 | Not published— |
| 2026-10-15 | token | $0.248 | $1.485 | Not published— |
| 2026-10-16 | token | $0.248 | $1.485 | Not published— |
| 2026-10-17 | token | $0.248 | $1.485 | Not published— |
| 2026-10-18 | token | $0.248 | $1.485 | Not published— |
| 2026-10-19 | token | $0.248 | $1.485 | Not published— |
| 2026-10-20 | token | $0.248 | $1.485 | Not published— |
| 2026-10-21 | token | $0.248 | $1.485 | Not published— |
| 2026-10-22 | token | $0.248 | $1.485 | Not published— |
| 2026-10-23 | token | $0.248 | $1.485 | Not published— |
| 2026-10-24 | token | $0.248 | $1.485 | Not published— |
| 2026-10-25 | token | $0.248 | $1.485 | Not published— |
| 2026-10-26 | token | $0.248 | $1.485 | Not published— |
| 2026-10-27 | token | $0.248 | $1.485 | Not published— |
| 2026-10-28 | token | $0.248 | $1.485 | Not published— |
| 2026-10-29 | token | $0.248 | $1.485 | Not published— |
| 2026-10-30 | token | $0.248 | $1.485 | Not published— |
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Call this model
OpenRouter id novita/qwen/qwen3.6-35b-a3b. 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/qwen/qwen3.6-35b-a3b","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/qwen/qwen3.6-35b-a3b",
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/qwen/qwen3.6-35b-a3b", "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())