Decision support

Wan 2.6 vs Kling 2.6 Pro

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

Wan 2.6

Alibaba

Sources:OpenRouter

Benchmark results

Head to head on 2 benchmarks both models report

  • Wan 2.62leads
  • Kling 2.6 Pro0leads
  • Arena Text to Video

    Arena rating · Higher is better

    • Wan 2.6
      Best1324
      +108 ahead · Arena #23CI 1316 to 1331
    • Kling 2.6 Pro
      1216
      Arena #31CI 1209 to 1223
    Runs and sources
    Wan 2.6
    • default132495% CI 1316 to 1331 · 75,753 votes
    Kling 2.6 Pro
    • default121695% CI 1209 to 1223 · 75,018 votes
  • Arena Image to Video

    Arena rating · Higher is better

    • Wan 2.6
      Best1309
      +15 ahead · Arena #25CI 1303 to 1316
    • Kling 2.6 Pro
      1294
      Arena #28CI 1286 to 1301
    Runs and sources
    Wan 2.6
    • default130995% CI 1303 to 1316 · 141,910 votes
    Kling 2.6 Pro
    • default129495% CI 1286 to 1301 · 208,828 votes

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 16, 2025
December 3, 2025
Context window
—
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Native context
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Max output tokens
0
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Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.00
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Output
$0.00
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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
—
Proprietary
Providers
1
0
Provider endpoints
1
0
Ollama variants
0
0
Metadata source
ai-research
ai-research

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

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