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.
| Grok 4.5 xai/grok-4.5 | Qwen 3.5 397B A17B alibaba/qwen3.5-397b-a17b | |
|---|---|---|
| Provider | xAI | Alibaba |
| Family | Grok 4 | Qwen |
| Modality | text | text |
| Context window | 500,000 tok | 262,144 tok |
| Max output | 32,768 tok | 32,768 tok |
| Released | 2026-07-21 | 2026-05-22 |
| Input price | $1.00 /1M | $0.600 /1M |
| Output price | $1.00 /1M | $3.60 /1M |
| Cache read | — | — |
| Tools | — | yes |
| Streaming | yes | yes |
| Vision | yes | — |
| JSON mode | — | yes |
| Reasoning | — | yes |
| Prompt caching | — | — |
xAI's Grok 4.5, a frontier model built for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high).
Alibaba's Qwen 3.5 is a 397B-parameter mixture-of-experts model with 17B active parameters, offering strong reasoning capabilities with efficient inference.
# 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 Grok 4.5
client.chat.completions.create(
model="xai/grok-4.5",
messages=[{"role":"user","content":"hello"}],
)
# Try Qwen 3.5 397B A17B — same client, same key
client.chat.completions.create(
model="alibaba/qwen3.5-397b-a17b",
messages=[{"role":"user","content":"hello"}],
)