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 | HappyHorse 1.1 T2V alibaba/hh1.1-t2v | |
|---|---|---|
| Provider | xAI | Alibaba |
| Family | Grok 4 | |
| Modality | text | video |
| Context window | 500,000 tok | — |
| Max output | 32,768 tok | — |
| Released | 2026-07-21 | 2026-06-24 |
| Input price | $1.00 /1M | $0.180 /sec |
| Output price | $1.00 /1M | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | — | — |
| Reasoning | — | — |
| 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 HappyHorse 1.1 text-to-video model. Generates videos from a text prompt with stronger dynamic expressiveness, better visual quality, and improved instruction following over 1.0. Configurable resolution, aspect ratio, and duration (3-15s).
# 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 HappyHorse 1.1 T2V — same client, same key
client.chat.completions.create(
model="alibaba/hh1.1-t2v",
messages=[{"role":"user","content":"hello"}],
)