Decision support

Seedream 4.0 vs GPT-Image-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 2 benchmarks both models report

  • Seedream 4.00leads
  • GPT-Image-1.52leads
  • Arena Text to Image

    Arena rating · Higher is better

    • Seedream 4.0
      1138
      Arena #43CI 1132 to 1145
    • GPT-Image-1.5
      Best1236
      +98 ahead · Arena #19CI 1233 to 1239
    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
    GPT-Image-1.5
    • default1236High Fidelity · 95% CI 1233 to 1239 · 169,495 votes
  • Arena Image Edit

    Arena rating · Higher is better

    • Seedream 4.0
      1267
      Arena #36CI 1260 to 1274
    • GPT-Image-1.5
      Best1367
      +100 ahead · Arena #21CI 1365 to 1370
    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
    GPT-Image-1.5
    • default1367High Fidelity · 95% CI 1365 to 1370 · 683,303 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
September 9, 2025
November 25, 2025
Context window
—
—
Native context
—
—
Max output tokens
—
—
Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text, image
text, image
Output modalities
image
text, image
Tool calling
—
—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Proprietary
—
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
ai-research
models.dev

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

To give you the best experience, we use cookies for personalization, insights, and performance. Learn more.