Qwen · Efficient
Qwen3.6 Flash
Qwen3.6 Flash is Alibaba's fast native vision-language model in the Qwen 3.6 family. It improves over 3.5 Flash with stronger coding/agent performance and better spatial intelligence, including object localization and detection.
- Vision
- Video input
- Input
- Text, Images, Video
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.19
- Output
- $1.16
- Cache read
- $0.02
- Cache write
- $0.24
Reference prices as published by the model provider. API example
Specifications
- Context window
- 991.8K
- Max output
- 65.5K
Side by side
Qwen3.6 Flash compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen3.6 FlashQwenThis model | Qwen3.7 Flash ThinkingQwenRemove | |
|---|---|---|
| Provider | Qwen | Qwen |
| Discovery tier | Efficient | Efficient |
| Added | Apr 17, 2026 | Jul 25, 2026 |
| Limits | ||
| Context window | 991.81KBest | 983.62K |
| Max output | 65.54K | 65.54K |
| Pricing, USD per 1M tokens | ||
| Input | $0.19 | $0.03Best |
| Output | $1.16 | $0.13Best |
| Cache read | $0.02 | $0.006Best |
| Cache write | $0.24 | $0.038Best |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Structured output | No | Yes |
| Video input | Yes | Yes |
| Reasoning effort | — | none, high |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Request success (24h)
- 100.0%
- Reliable
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.6-flash",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen3.6-flash",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
Other Qwen models, starting with the same family.