Decision support

Seedream 4.0 vs Imagen 4 Ultra

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

Seedream 4.0

ByteDance

Imagen 4 Ultra

Google DeepMind

Benchmark results

Head to head on 1 benchmark both models report · 1 tie

  • Seedream 4.00leads
  • Imagen 4 Ultra0leads
  • Arena Text to Image

    Arena rating · Higher is better

    Tie, within 95% CI
    • Seedream 4.0
      1138
      Arena #43CI 1132 to 1145
    • Imagen 4 Ultra
      1146
      Arena #39CI 1142 to 1150
    Runs and sources
    Seedream 4.0
    • default11382K · 95% CI 1132 to 1145 · 12,274 votes
    • default1116fal · 95% CI 1109 to 1122 · 11,708 votes
    • default1113High Res, fal · 95% CI 1109 to 1116 · 178,506 votes
    Imagen 4 Ultra
    • default114695% CI 1142 to 1150 · 385,852 votes
  • Arena Image Edit

    Arena rating · Higher is better

    • Seedream 4.0
      1267
      Arena #36CI 1260 to 1274
    • Imagen 4 Ultra
      Not reported
    Runs and sources
    Seedream 4.0
    • default12672K · 95% CI 1260 to 1274 · 208,553 votes
    • default1216High Res, fal · 95% CI 1213 to 1219 · 1,212,501 votes
    • default1209fal · 95% CI 1203 to 1216 · 151,431 votes
    Imagen 4 Ultra

    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 9, 2025
June 24, 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
Output modalities
image
image
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
ai-research
curated

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

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