qwen3.6-plus vs qwen3.8-flash
| qwen3.6-plus | qwen3.8-flash | |
|---|---|---|
| Providers | Alibaba Qwen | Alibaba Qwen |
| Input $/M | $0.15 | $0.06 |
| Output $/M | $0.92 | $0.21 |
| Output multiplier | ×6.00 | ×3.38 |
| Context window | 1M tokens | 1M tokens |
| Intelligence index | 27.0 | 39.8 |
| Coding index | 54.5 | 73.1 |
What the numbers mean
qwen3.8-flash is roughly 2.5× cheaper on input than qwen3.6-plus. If your workload passes the quality bar on the cheaper model, that gap compounds across every request; route to qwen3.6-plus deliberately rather than by default.
On measured intelligence index the gap is 12.8 points, with qwen3.8-flash ahead. That is a large enough spread to be visible on multi-step tasks.
Tags: qwen3.6-plus — Chat, Reasoning, Coding, Vision · qwen3.8-flash — Chat, Reasoning, Coding, Vision
Code
from openai import OpenAI
client = OpenAI(base_url="https://starseaapi.com/v1", api_key="sk-...")
# qwen3.6-plus
client.chat.completions.create(model="qwen3.6-plus", messages=[{"role":"user","content":"Hi"}])
# qwen3.8-flash
client.chat.completions.create(model="qwen3.8-flash", messages=[{"role": "user", "content": "Hi"}])