qwen3.7-max vs qwen3.8-27b
| qwen3.7-max | qwen3.8-27b | |
|---|---|---|
| Providers | Alibaba Qwen | Alibaba Qwen |
| Input $/M | $1.85 | $0.46 |
| Output $/M | $5.54 | $1.85 |
| Output multiplier | ×3.00 | ×4.00 |
| Context window | 1M tokens | 262K tokens |
| Intelligence index | 29.5 | 33.7 |
| Coding index | 66.0 | 68.1 |
What the numbers mean
qwen3.8-27b is roughly 4.0× cheaper on input than qwen3.7-max. If your workload passes the quality bar on the cheaper model, that gap compounds across every request; route to qwen3.7-max deliberately rather than by default.
On measured intelligence index the gap is 4.2 points, with qwen3.8-27b ahead. That is a large enough spread to be visible on multi-step tasks.
Tags: qwen3.7-max — Chat, Reasoning, Coding · qwen3.8-27b — Chat, Reasoning, Coding, Vision
Code
from openai import OpenAI
client = OpenAI(base_url="https://starseaapi.com/v1", api_key="sk-...")
# qwen3.7-max
client.chat.completions.create(model="qwen3.7-max", messages=[{"role":"user","content":"Hi"}])
# qwen3.8-27b
client.chat.completions.create(model="qwen3.8-27b", messages=[{"role": "user", "content": "Hi"}])