qwen3.7-max API
Call qwen3.7-max through a single OpenAI-compatible endpoint — one key, no separate vendor account, no multi-provider wiring.
Alibaba QwenChatReasoningCoding29.5
Intelligence index
66.0
Coding index
22.5
Agentic index
Pricing
Input$1.85 / 1M tokens (¥12.00)
Output$5.54 / 1M tokens (¥36.00)
Output multiplier×3.00
Context window1M tokens
Max output128K tokens
Prices are per 1M tokens in USD · ¥6.5 = $1 · Billed in CNY
Alibaba Qwen
Qwen models cover multilingual chat, long-context reasoning and the Qwen-Image generation series, which is exposed through the same unified endpoint.
When to use it
At $1.85 per 1M input tokens it sits above the catalogue median of $0.69 — a capability-first choice. Best for coding agents and repository-scale edits. Every model here is reachable with the same API key, so trialling it against a stronger sibling costs one line of code.
Code
from openai import OpenAI
client = OpenAI(
base_url="https://starseaapi.com/v1",
api_key="sk-your-key"
)
r = client.chat.completions.create(
model="qwen3.7-max",
messages=[{"role": "user", "content": "Explain prefix caching in one paragraph"}]
)
print(r.choices[0].message.content)Other models from this provider
| Models | Input $/M | Output $/M | Intelligence index | Coding index |
|---|---|---|---|---|
| qwen3.8-flash | $0.12 | $0.42 | 39.8 | 73.1 |
| qwen3.6-plus | $0.31 | $1.85 | 27.0 | 54.5 |
| qwen3.7-plus | $0.31 | $1.23 | 25.2 | 55.9 |
| qwen3.8-27b | $0.46 | $1.85 | 33.7 | 68.1 |