Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| Qwen3.7 Max alibaba/qwen3.7-max | Qwen3-Embedding-0.6b qwen/qwen3-embedding-0.6b | |
|---|---|---|
| Provider | Alibaba | Alibaba Qwen |
| Family | Qwen | Qwen |
| Modality | text | embedding |
| Context window | 1,000,000 tok | — |
| Max output | 4,096 tok | — |
| Released | 2026-07-02 | 2025-06-18 |
| Input price | $2.50 /1M | $0.012 /1M |
| Output price | $7.50 /1M | $0.0000 /1M |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | — | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | — | — |
Alibaba's Qwen 3.7 Max is the largest and most capable model in the Qwen3.7 series, a next-generation flagship built for the agent-centric era with deep strengths in programming, office and productivity tasks, and long-term autonomous execution, served via DashScope's OpenAI-compatible endpoint.
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks.
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Qwen3.7 Max
client.chat.completions.create(
model="alibaba/qwen3.7-max",
messages=[{"role":"user","content":"hello"}],
)
# Try Qwen3-Embedding-0.6b — same client, same key
client.chat.completions.create(
model="qwen/qwen3-embedding-0.6b",
messages=[{"role":"user","content":"hello"}],
)