Decision support

Veo 3.1 vs Ray3

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

Veo 3.1

Google DeepMind

Sources:OpenRouter

Ray3

Luma AI

Benchmark results

  • Arena Text to Video

    Arena rating · Higher is better

    • Veo 3.1
      Not reported
    • Ray3
      1206
      Arena #33CI 1184 to 1229
    Runs and sources
    Veo 3.1

    Not reported

    Ray3
    • default120695% CI 1184 to 1229 · 1,136 votes
  • Arena Image to Video

    Arena rating · Higher is better

    • Veo 3.1
      Not reported
    • Ray3
      1227
      Arena #39CI 1208 to 1246
    Runs and sources
    Veo 3.1

    Not reported

    Ray3
    • default122795% CI 1208 to 1246 · 1,585 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
October 15, 2025
September 18, 2025
Context window
—
—
Native context
—
—
Max output tokens
0
—
Knowledge cutoff
—
—
Open weights
Closed
Closed
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, response_format, seed, 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
curated

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

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