Decision support

FLUX.2 Max vs Niji 7

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

FLUX.2 Max

Black Forest Labs

Sources:OpenRouter

Niji 7

Midjourney

Benchmark results

  • Arena Text to Image

    Arena rating · Higher is better

    • FLUX.2 Max
      1161
      Arena #30CI 1158 to 1165
    • Niji 7
      Not reported
    Runs and sources
    FLUX.2 Max
    • default116195% CI 1158 to 1165 · 120,498 votes
    Niji 7

    Not reported

  • Arena Image Edit

    Arena rating · Higher is better

    • FLUX.2 Max
      1262
      Arena #37CI 1259 to 1265
    • Niji 7
      Not reported
    Runs and sources
    FLUX.2 Max
    • default126295% CI 1259 to 1265 · 367,896 votes
    Niji 7

    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
December 16, 2025
January 9, 2026
Context window
47K
—
Native context
—
—
Max output tokens
42,177
—
Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.00
—
Output
$0.00
—
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
—
Instruction format
—
—
License
—
proprietary
Providers
1
0
Provider endpoints
1
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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