Decision support

Ray3 vs Sora 2 Pro

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

Ray3

Luma AI

Benchmark results

Head to head on 1 benchmark both models report

  • Ray30leads
  • Sora 2 Pro1lead
  • Arena Text to Video

    Arena rating · Higher is better

    • Ray3
      1206
      Arena #33CI 1184 to 1229
    • Sora 2 Pro
      Best1367
      +161 ahead · Arena #13CI 1360 to 1374
    Runs and sources
    Ray3
    • default120695% CI 1184 to 1229 · 1,136 votes
    Sora 2 Pro
    • default136795% CI 1360 to 1374 · 55,965 votes
  • Arena Image to Video

    Arena rating · Higher is better

    • Ray3
      1227
      Arena #39CI 1208 to 1246
    • Sora 2 Pro
      Not reported
    Runs and sources
    Ray3
    • default122795% CI 1208 to 1246 · 1,585 votes
    Sora 2 Pro

    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
September 18, 2025
September 30, 2025
Context window
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Native context
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Max output tokens
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Knowledge cutoff
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Open weights
Closed
Closed
Parameter count
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API pricing · USD per 1M tokens

Input
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Output
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Cached input
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Cache write
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Capabilities and modalities

Input modalities
text, image
text, image
Output modalities
video
video
Tool calling
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Reasoning option
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Supported options
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—
Capabilities
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Architecture and availability

Architecture
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Model families
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Tokenizer
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Instruction format
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License
proprietary
proprietary
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
curated
curated

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

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