AI model comparison

apple/coreml-sam2.1-baseplus vs apple/coreml-sam2.1-small

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

apple/coreml-sam2.1-baseplus and apple/coreml-sam2.1-small both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

apple

apple/coreml-sam2.1-baseplus

Hugging Face repository for Mask generation.

Context
Max output
Input / 1M
Output / 1M
Output speed

Accepts

  • Image input

Produces

  • Mask output
VS

apple

apple/coreml-sam2.1-small

Hugging Face repository for Mask generation.

Context
Max output
Input / 1M
Output / 1M
Output speed

Accepts

  • Image input

Produces

  • Mask output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where apple/coreml-sam2.1-baseplus leads in recorded data

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Where apple/coreml-sam2.1-small leads in recorded data

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Context capacity

Higher listed limit

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Maximum output

Higher listed limit

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Input price

Lower recorded price

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Output price

Lower recorded price

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Output speed

Higher recorded throughput

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Time to first token

Lower recorded latency

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Intelligence Index

Higher directory index

apple/coreml-sam2.1-baseplus:

apple/coreml-sam2.1-small:

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

Specificationapple/coreml-sam2.1-baseplusapple/coreml-sam2.1-small
Providerappleapple
Model family
Accepted inputsimageimage
Produced outputsmaskmask
Context window
Max output
Intelligence Index
Input price / 1M
Output price / 1M
Output speed
Time to first token
Reasoning modeNot documentedNot documented
Tool callingNot documentedNot documented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented
ReleasedNot documentedNot documented

Workload guidance

Which model should you choose?

The published specifications are close enough that the decision usually comes down to which provider you already have an account and rate limits with.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

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