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.
| Kimi-K2.6 moonshot/kimi-k2.6 | HappyHorse 1.1 T2V alibaba/hh1.1-t2v | |
|---|---|---|
| Provider | Moonshot | Alibaba |
| Family | Kimi | |
| Modality | text | video |
| Context window | 262,144 tok | — |
| Max output | 16,384 tok | — |
| Released | 2026-04-20 | 2026-06-24 |
| Input price | $0.950 /1M | $0.180 /sec |
| Output price | $4.00 /1M | — |
| Cache read | $0.160 /1M | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | yes | — |
Kimi K2.6 is a frontier-scale open-source 1T parameter model with a 262.1k context window, multi-turn tool calling, vision inputs, and structured outputs for agentic workloads.
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 Kimi-K2.6
client.chat.completions.create(
model="moonshot/kimi-k2.6",
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"}],
)