Decision support

FLUX.2 Pro vs Kling Image O1

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

Benchmark results

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

  • FLUX.2 Pro0leads
  • Kling Image O10leads
  • Arena Text to Image

    Arena rating · Higher is better

    • FLUX.2 Pro
      1153
      Arena #34CI 1150 to 1156
    • Kling Image O1
      Not reported
    Runs and sources
    FLUX.2 Pro
    • default115395% CI 1150 to 1156 · 219,196 votes
    Kling Image O1

    Not reported

  • Arena Image Edit

    Arena rating · Higher is better

    Tie, within 95% CI
    • FLUX.2 Pro
      1248
      Arena #40CI 1245 to 1250
    • Kling Image O1
      1250
      Arena #39CI 1247 to 1254
    Runs and sources
    FLUX.2 Pro
    • default124895% CI 1245 to 1250 · 670,980 votes
    Kling Image O1
    • default125095% CI 1247 to 1254 · 140,278 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
December 1, 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
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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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