per 1M tokens
Qwen 3.6 35B A3B FP8
nearai/Qwen/Qwen3.6-35B-A3B-FP8
Qwen 3.6 35B is a fast mixture-of-experts language model with ~3B active parameters per token. Strong at reasoning, coding, and multilingual tasks with 32K context window.
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 |
|---|---|---|---|---|---|---|---|---|
| NEAR AI | — | — | $0.17/1M | $1.1/1M | 262K | — | Listed | nearai |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$1.27 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.17/1M | $1.1/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-09 | token | $0.17 | $1.1 | Not published— |
| 2026-10-10 | token | $0.17 | $1.1 | Not published— |
| 2026-10-11 | token | $0.17 | $1.1 | Not published— |
| 2026-10-12 | token | $0.17 | $1.1 | Not published— |
| 2026-10-13 | token | $0.17 | $1.1 | Not published— |
| 2026-10-14 | token | $0.17 | $1.1 | Not published— |
| 2026-10-15 | token | $0.17 | $1.1 | Not published— |
| 2026-10-16 | token | $0.17 | $1.1 | Not published— |
| 2026-10-17 | token | $0.17 | $1.1 | Not published— |
| 2026-10-18 | token | $0.17 | $1.1 | Not published— |
| 2026-10-19 | token | $0.17 | $1.1 | Not published— |
| 2026-10-20 | token | $0.17 | $1.1 | Not published— |
| 2026-10-21 | token | $0.17 | $1.1 | Not published— |
| 2026-10-22 | token | $0.17 | $1.1 | Not published— |
| 2026-10-23 | token | $0.17 | $1.1 | Not published— |
| 2026-10-24 | token | $0.17 | $1.1 | Not published— |
| 2026-10-25 | token | $0.17 | $1.1 | Not published— |
| 2026-10-26 | token | $0.17 | $1.1 | Not published— |
| 2026-10-27 | token | $0.17 | $1.1 | Not published— |
| 2026-10-28 | token | $0.17 | $1.1 | Not published— |
| 2026-10-29 | token | $0.17 | $1.1 | Not published— |
| 2026-10-30 | token | $0.17 | $1.1 | Not published— |
Alternatives
- Llama 4 Scout 17B$0.17/1M · Compare
- Qwen3.5 9B FP8$0.17/1M · Compare
- Qwen: Qwen3.5-9B$0.17/1M · Compare
- OpenAI: gpt-oss-120b$0.168/1M · Compare
- xiaomi-mimo-v2-6-flash$0.175/1M · Compare
- gpt-oss-120B Inp DZone$0.165/1M · Compare
Call this model
OpenRouter id nearai/Qwen/Qwen3.6-35B-A3B-FP8. 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":"nearai/Qwen/Qwen3.6-35B-A3B-FP8","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: "nearai/Qwen/Qwen3.6-35B-A3B-FP8",
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": "nearai/Qwen/Qwen3.6-35B-A3B-FP8", "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())