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.
| Vidu Q3 Pro vidu/q3-pro | Vidu Q3 Turbo vidu/q3-turbo | |
|---|---|---|
| Provider | Vidu | Vidu |
| Family | Vidu | Vidu |
| Modality | video | video |
| Context window | — | — |
| Max output | — | — |
| Released | 2026-04-15 | 2026-04-15 |
| Input price | $0.125 /sec | $0.060 /sec |
| Output price | — | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | — |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Vidu Q3 Pro is a high-quality video generation model supporting text-to-video, image-to-video, and start/end-frame-to-video workflows with audio and up to 16-second clips.
Vidu Q3 Turbo is a faster version of Vidu Q3 optimized for lower latency video generation while maintaining audio support and up to 16-second clips.
# 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 Vidu Q3 Pro
client.chat.completions.create(
model="vidu/q3-pro",
messages=[{"role":"user","content":"hello"}],
)
# Try Vidu Q3 Turbo — same client, same key
client.chat.completions.create(
model="vidu/q3-turbo",
messages=[{"role":"user","content":"hello"}],
)