per 1M tokens
Qwen3.6 27B
novita/qwen/qwen3.6-27b
The Qwen3.6 27B native vision-language dense model builds upon the 3.5-27B version, with key improvements in agentic coding capabilities and enhanced STEM reasoning and inference skills. In the vision modality, it demonstrates significant advances in spatial intelligence, object localization, and detection, while video understanding, document OCR, and visual agent capabilities continue to improve steadily.
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.
$4.20 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.6/1M | $3.6/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.6 | $3.6 | Not published— |
| 2026-10-09 | token | $0.6 | $3.6 | Not published— |
| 2026-10-10 | token | $0.6 | $3.6 | Not published— |
| 2026-10-11 | token | $0.6 | $3.6 | Not published— |
| 2026-10-12 | token | $0.6 | $3.6 | Not published— |
| 2026-10-13 | token | $0.6 | $3.6 | Not published— |
| 2026-10-14 | token | $0.6 | $3.6 | Not published— |
| 2026-10-15 | token | $0.6 | $3.6 | Not published— |
| 2026-10-16 | token | $0.6 | $3.6 | Not published— |
| 2026-10-17 | token | $0.6 | $3.6 | Not published— |
| 2026-10-18 | token | $0.6 | $3.6 | Not published— |
| 2026-10-19 | token | $0.6 | $3.6 | Not published— |
| 2026-10-20 | token | $0.6 | $3.6 | Not published— |
| 2026-10-21 | token | $0.6 | $3.6 | Not published— |
| 2026-10-22 | token | $0.6 | $3.6 | Not published— |
| 2026-10-23 | token | $0.6 | $3.6 | Not published— |
| 2026-10-24 | token | $0.6 | $3.6 | Not published— |
| 2026-10-25 | token | $0.6 | $3.6 | Not published— |
| 2026-10-26 | token | $0.6 | $3.6 | Not published— |
| 2026-10-27 | token | $0.6 | $3.6 | Not published— |
| 2026-10-28 | token | $0.6 | $3.6 | Not published— |
| 2026-10-29 | token | $0.6 | $3.6 | Not published— |
| 2026-10-30 | token | $0.6 | $3.6 | Not published— |
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Call this model
OpenRouter id novita/qwen/qwen3.6-27b. 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/qwen3.6-27b","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/qwen3.6-27b",
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/qwen3.6-27b", "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())