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.
| Qwen1.5-1.8b-Chat qwen/qwen1.5-1.8b-chat | Qwen3-Embedding-0.6b qwen/qwen3-embedding-0.6b | |
|---|---|---|
| Provider | Alibaba Qwen | Alibaba Qwen |
| Family | Qwen | Qwen |
| Modality | text | embedding |
| Context window | 4,096 tok | 8,192 tok |
| Max output | 4,096 tok | — |
| Released | 2024-02-05 | 2025-06-18 |
| Input price | $0.020 /1M | $0.012 /1M |
| Output price | $0.040 /1M | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | yes | — |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
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 Qwen1.5-1.8b-Chat
client.chat.completions.create(
model="qwen/qwen1.5-1.8b-chat",
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"}],
)