Hunyuan Video Fast
Hunyuan Video Fast is the latency-optimized variant of Tencent's open-weight Hunyuan Video model, a diffusion-based text-to-video generator tuned for shorter render times at production-acceptable quality. The Hunyuan Video line supports cinematic motion, scene transitions, and detailed prompt adherence. Use it for marketing clips, social content, and pipelines where generation speed matters.
Pricing
Input
$0.300 / video
Output
—
Pay only for what you use. No subscriptions, no minimums.
Specs
- Context
- —
- Max output
- —
- Latency
- Slow
- Category
- Video
- Arabic
- Partial
Constraints & limits
Duration
Up to 30s (linear pricing)
Base price
For 5s clip
Constraint
Fixed 5s, 1280×720 only
Auto-refund
On generation failure
The gateway auto-clamps requests to the model's limits where possible.
Quick start
Video generation is async, the sample submits then polls until done or failed (auto-refund on failure).
import os, time, requests
API = "https://api.thalam.ai/v1"
headers = {"Authorization": f"Bearer {os.environ['THALAM_KEY']}"}
# 1. Submit
submit = requests.post(
f"{API}/videos/generations",
headers=headers,
json={
"model": "tencent/hunyuan-video-fast",
"prompt": "A drone shot over a desert at golden hour.",
"duration": 5,
},
)
task_id = submit.json()["task_id"]
# 2. Poll until done (or auto-refund on failure)
while True:
poll = requests.get(f"{API}/videos/tasks/{task_id}", headers=headers).json()
status = poll["task"]["status"]
if status == "TASK_STATUS_SUCCEED":
print(poll["videos"][0]["video_url"])
break
if status == "TASK_STATUS_FAILED":
print(f"Failed: {poll['task'].get('reason', 'unknown')}")
break
time.sleep(5)Similar models
MiniMax H3 Max
MiniMax's top video tier. 5 to 15 second clips at 480P or 768P with native audio, driven by a prompt, first and last frames, or up to 9 reference images.
MiniMax H3
MiniMax's newest video model with native audio. 4 to 15 second clips at 768P or 2K, priced per second.