Decision support

Claude Opus 4 vs Apple On-Device Model (2025)

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

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • Claude Opus 4
      1426
      Arena #123CI 1422 to 1431
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default142616K, thinking · 95% CI 1422 to 1431 · 35,852 votes
    • default141495% CI 1410 to 1419 · 42,967 votes
    Apple On-Device Model (2025)

    Not reported

  • Arena Vision

    Arena rating · Higher is better

    • Claude Opus 4
      1208
      Arena #88CI 1192 to 1224
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default120816K, thinking · 95% CI 1192 to 1224 · 1,287 votes
    • default118995% CI 1176 to 1202 · 2,166 votes
    Apple On-Device Model (2025)

    Not reported

  • ARC-AGI-2

    Best published score · Higher is better

    • Claude Opus 4
      8.6%
      #58 of 85
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default8.6%16K
    • default4.5%8K
    • default1.3%
    • default0.0%1K
    Apple On-Device Model (2025)

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply
  • FrontierMath-2025-02-28-Private

    Best published score · Higher is better

    • Claude Opus 4
      4.5%
      #42 of 58
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default4.5%
    • default4.1%27K
    Apple On-Device Model (2025)

    Not reported

  • FrontierMath-Tier-4-2025-07-01-Private

    Best published score · Higher is better

    • Claude Opus 4
      4.2%
      #18 of 46
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default4.2%27K
    • default0.0%
    Apple On-Device Model (2025)

    Not reported

  • GPQA diamond

    Best published score · Higher is better

    • Claude Opus 4
      76.3%
      #97 of 161
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default76.3%16K
    • default69.2%
    Apple On-Device Model (2025)

    Not reported

  • Humanity's Last Exam

    Best published score · Higher is better

    • Claude Opus 4
      6.7%
      #28 of 34
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • unknown6.7%
    Apple On-Device Model (2025)

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply
  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Claude Opus 4
      64.4%
      #109 of 158
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default64.4%27K
    • default60.0%16K
    • default42.2%
    Apple On-Device Model (2025)

    Not reported

  • SWE-bench Verified

    Best published score · Higher is better

    • Claude Opus 4
      70.7%
      #27 of 35
    • Apple On-Device Model (2025)
      Not reported
    Runs and sources
    Claude Opus 4
    • default70.7%
    Apple On-Device Model (2025)

    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.

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.

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
May 22, 2025
June 9, 2025
Context window
200K
—
Native context
—
—
Max output tokens
32,000
—
Knowledge cutoff
2025-03-31
—
Open weights
Closed
Closed
Parameter count
—
3B

API pricing · USD per 1M tokens

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

Capabilities and modalities

Input modalities
text, image, file
text, image
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
ai-research
curated

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

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