Decision support

Muse Video vs Grok Imagine 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

  • Muse Video0leads
  • Grok Imagine Video 1.50leads
  • Arena Text to Video

    Arena rating · Higher is better

    Tie, within 95% CI
    • Muse Video
      1457
      Arena #10CI 1443 to 1472
    • Grok Imagine Video 1.5
      1488
      Arena #5CI 1469 to 1506
    Runs and sources
    Muse Video
    • default145795% CI 1443 to 1472 · 2,225 votes
    Grok Imagine Video 1.5
    • default148895% CI 1469 to 1506 · 1,249 votes
  • Arena Image to Video

    Arena rating · Higher is better

    • Muse Video
      Not reported
    • Grok Imagine Video 1.5
      1453
      Arena #10CI 1449 to 1458
    Runs and sources
    Muse Video

    Not reported

    Grok Imagine Video 1.5
    • default1453720p · 95% CI 1449 to 1458 · 197,120 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
July 7, 2026
July 20, 2026
Context window
—
1K
Native context
—
—
Max output tokens
—
—
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
text, image
Output modalities
video
video
Tool calling
—
—
Reasoning option
—
—
Supported options
—
logprobs, max_tokens, response_format, seed, temperature, top_logprobs, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
Grok
Instruction format
—
—
License
Proprietary
—
Providers
0
1
Provider endpoints
0
1
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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