Decision support

Kling Video O1 vs Hunyuan Video 1.5

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Benchmark results

Head to head on 1 benchmark both models report · 1 tie

  • Kling Video O10leads
  • Hunyuan Video 1.50leads
  • Arena Text to Video

    Arena rating · Higher is better

    Tie, within 95% CI
    • Kling Video O1
      1201
      Arena #35CI 1174 to 1228
    • Hunyuan Video 1.5
      1168
      Arena #40CI 1152 to 1185
    Runs and sources
    Kling Video O1
    • default120195% CI 1174 to 1228 · 1,210 votes
    Hunyuan Video 1.5
    • default116895% CI 1152 to 1185 · 4,322 votes
  • Arena Image to Video

    Arena rating · Higher is better

    • Kling Video O1
      Not reported
    • Hunyuan Video 1.5
      1199
      Arena #42CI 1183 to 1214
    Runs and sources
    Kling Video O1

    Not reported

    Hunyuan Video 1.5
    • default119995% CI 1183 to 1214 · 5,498 votes
  • Arena Video Edit

    Arena rating · Higher is better

    • Kling Video O1
      1190
      Arena #11CI 1181 to 1198
    • Hunyuan Video 1.5
      Not reported
    Runs and sources
    Kling Video O1
    • default119095% CI 1181 to 1198 · 17,696 votes
    Hunyuan Video 1.5

    Not reported

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
December 1, 2025
November 21, 2025
Context window
—
—
Native context
—
—
Max output tokens
0
—
Knowledge cutoff
—
—
Open weights
Closed
Open weights
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.00
—
Output
$0.00
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text, image
text, image
Output modalities
video
video
Tool calling
—
—
Reasoning option
—
—
Supported options
max_tokens, temperature, top_p
—
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
—
Instruction format
—
—
License
—
tencent-hunyuan-community
Providers
1
0
Provider endpoints
1
0
Ollama variants
0
0
Metadata source
curated
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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