Decision support

Muse Image vs Cosmos3-Super-Text2Image

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

  • Muse Image1lead
  • Cosmos3-Super-Text2Image0leads
  • Arena Text to Image

    Arena rating · Higher is better

    • Muse Image
      Best1266
      +117 ahead · Arena #12CI 1262 to 1271
    • Cosmos3-Super-Text2Image
      1150
      Arena #36CI 1144 to 1156
    Runs and sources
    Muse Image
    • default126695% CI 1262 to 1271 · 57,330 votes
    Cosmos3-Super-Text2Image
    • default115095% CI 1144 to 1156 · 17,450 votes
  • Arena Image Edit

    Arena rating · Higher is better

    • Muse Image
      1400
      Arena #13CI 1396 to 1403
    • Cosmos3-Super-Text2Image
      Not reported
    Runs and sources
    Muse Image
    • default140095% CI 1396 to 1403 · 195,504 votes
    Cosmos3-Super-Text2Image

    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
July 7, 2026
May 31, 2026
Context window
66K
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Native context
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Max output tokens
58,982
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Knowledge cutoff
—
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Open weights
Closed
Open weights
Parameter count
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64.6B

API pricing · USD per 1M tokens

Input
$0.00
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Output
$0.00
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Cached input
—
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Cache write
—
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Capabilities and modalities

Input modalities
text, image
text
Output modalities
image
image
Tool calling
—
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Reasoning option
—
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Supported options
max_tokens, repetition_penalty, temperature, top_k, top_p
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Capabilities
—
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Architecture and availability

Architecture
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Model families
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Tokenizer
Other
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Instruction format
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License
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OpenMDW-1.1
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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