Decision support

FLUX.2 Pro vs Seedream 4.0

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

FLUX.2 Pro

Black Forest Labs

Sources:OpenRouter

Seedream 4.0

ByteDance

Benchmark results

Head to head on 2 benchmarks both models report

  • FLUX.2 Pro1lead
  • Seedream 4.01lead
  • Arena Text to Image

    Arena rating · Higher is better

    • FLUX.2 Pro
      Best1153
      +14 ahead · Arena #34CI 1150 to 1156
    • Seedream 4.0
      1138
      Arena #43CI 1132 to 1145
    Runs and sources
    FLUX.2 Pro
    • default115395% CI 1150 to 1156 · 219,196 votes
    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
  • Arena Image Edit

    Arena rating · Higher is better

    • FLUX.2 Pro
      1248
      Arena #40CI 1245 to 1250
    • Seedream 4.0
      Best1267
      +20 ahead · Arena #36CI 1260 to 1274
    Runs and sources
    FLUX.2 Pro
    • default124895% CI 1245 to 1250 · 670,980 votes
    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

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
November 25, 2025
September 9, 2025
Context window
47K
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Native context
—
—
Max output tokens
42,177
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Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.00
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Output
$0.00
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Cached input
—
—
Cache write
—
—

Capabilities and modalities

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

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
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Instruction format
—
—
License
—
Proprietary
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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