Decision support

Apple Server Model (2025) vs Gemini 2.5 Flash Preview 05-20

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

Benchmark results

  • ARC-AGI-2

    Best published score · Higher is better

    • Apple Server Model (2025)
      Not reported
    • Gemini 2.5 Flash Preview 05-20
      2.5%
      #71 of 85
    Runs and sources
    Apple Server Model (2025)

    Not reported

    Gemini 2.5 Flash Preview 05-20
    • default2.5%23K
    • default2.2%1K
    • default2.1%8K
    • default2.0%16K
    • default1.7%
    Source:External evaluation via Epoch AIOriginal-source terms apply
  • Humanity's Last Exam

    Best published score · Higher is better

    • Apple Server Model (2025)
      Not reported
    • Gemini 2.5 Flash Preview 05-20
      11.0%
      #21 of 34
    Runs and sources
    Apple Server Model (2025)

    Not reported

    Gemini 2.5 Flash Preview 05-20
    • default11.0%
    Source:External evaluation via Epoch AIOriginal-source terms apply
  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Apple Server Model (2025)
      Not reported
    • Gemini 2.5 Flash Preview 05-20
      70.8%
      #94 of 158
    Runs and sources
    Apple Server Model (2025)

    Not reported

    Gemini 2.5 Flash Preview 05-20
    • default70.8%

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.

Original-source terms apply to evaluations credited to their original publishers.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Model specifications

Release date
June 9, 2025
May 20, 2025
Context window
—
1M
Native context
—
—
Max output tokens
—
65,536
Knowledge cutoff
—
2025-01
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, audio, video, file
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
—
Supported
Supported options
—
tools, reasoning, temperature
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
curated
models.dev

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

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