HunyuanVideo 1.5
Tencent
- Released
- November 2025
- Data date
- August 24, 2026
- Maximum resolution
- Native audio
- Access
HunyuanVideo 1.5 is Tencent’s compact open-weight approach to text-to-video and image-to-video generation. With 8.3 billion parameters, it targets more efficient local use, supports 480p and 720p base outputs, and can upscale them to 1080p through a separate video super-resolution module. Native audio is absent.
The architecture combines a DiT with Selective and Sliding Tile Attention to reduce the cost of longer video sequences. Tencent also releases step-distilled checkpoints for faster image-to-video generation. Treat the 1080p result as a super-resolution output, not as the model’s native resolution.
Text-to-video and image-to-video remain separate. Their input tasks differ, so they do not receive a combined overall rank.
Methodology and source
Published benchmarks
LMArena Text to Video
Elo ratings summarize pairwise comparisons within this leaderboard. They are not percentages. The scale does not express absolute quality or linear gaps between models.
higher is betterAs of September 22, 2026Scale: 0 Elo - 1,516 Elo
Methodology and context
- Metric
- elo-rating
- Scale
- No upper bound is documented. The chart spans the recorded values and zero.
- Participants
- 22
- Sample
- 4,292
LMArena Image to Video
Elo ratings summarize pairwise comparisons within this leaderboard. They are not percentages. The scale does not express absolute quality or linear gaps between models.
higher is betterAs of September 22, 2026Scale: 0 Elo - 1,495 Elo
Methodology and context
- Metric
- elo-rating
- Scale
- No upper bound is documented. The chart spans the recorded values and zero.
- Participants
- 21
- Sample
- 5,462
Recorded measurement details
Every observation retains its source value and published test conditions.
LMArena Text to Video: LMArena Text to Video (Show measurement, test conditions, and source)
- Source value
- 1169
- Score
- 1169
- Metric
- elo-rating
- Unit
- Elo
- Task
- lmarena-text-to-video
- Task label
- LMArena Text to Video
- Direction
- Higher is better
- Source rank
- 38
- Sample
- 4292
- Lower confidence bound
- 1153
- Upper confidence bound
- 1185
- Retrieved at
- 2026-09-22
LMArena Image to Video: LMArena Image to Video (Show measurement, test conditions, and source)
- Source value
- 1198
- Score
- 1198
- Metric
- elo-rating
- Unit
- Elo
- Task
- lmarena-image-to-video
- Task label
- LMArena Image to Video
- Direction
- Higher is better
- Source rank
- 40
- Sample
- 5462
- Lower confidence bound
- 1182
- Upper confidence bound
- 1214
- Retrieved at
- 2026-09-22
Sample video
Video sample from our test
This video exists as a documented run for the exact model version. Playback is muted.
Motion and physical consistency
This sample tests Anatomy, object consistency, camera tracking, rain, and reflections.
Prompt and settings
Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.
Generated through fal.ai with model fal-ai/hunyuan-video-v1.5/text-to-video. Archived settings were 16:9, one request, first output, requested 5 s, seed 1928510983, request {"prompt":"Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.","aspect_ratio":"16:9","resolution":"480p","num_frames":121,"num_inference_steps":28,"enable_prompt_expansion":false}, configured price estimate $0.38.
Popularity
Popularity
29.4 / 100
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
- fal.ai (fal-ai/hunyuan-video-v1.5/text-to-video)
- $0.38 per request (estimated)Source
Head-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
Show all comparisons (23)
Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
| Type | Evidence and data date |
|---|---|
| Additional source | Tencent · Tencent HunyuanVideo 1.5 model card · Editorial description reviewed October 2, 2026 |
| Additional source | fal.ai |
| Additional source | LMArena (retrieved September 22, 2026) |
| Additional source | LMArena (retrieved September 22, 2026) |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |