Amazon Nova Pro vs Apple Foundation Models 3

Amazon · US  |  Apple · US · Updated June 2026

Quick verdict

Pick Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20 or deep aws and bedrock integration for enterprise pipelines. Pick Apple Foundation Models 3 for runs entirely on-device on iphone - no api call, no per-token cost, works offline or the 20b sparse 'core advanced' variant lifted on-device output quality from 23% to 46% user preference in apple's own testing versus the prior generation. On a tight budget at scale, Apple Foundation Models 3 is the value pick.

Amazon Nova Pro (Amazon) and Apple Foundation Models 3 (Apple) are two of the models people most often weigh against each other in 2026. Amazon Nova Pro is amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. Apple Foundation Models 3 is apple's on-device model family - genuinely small context and no API access, but private, offline, and free to run on every iPhone. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecAmazon Nova ProApple Foundation Models 3
ProviderAmazon (US) Apple (US)
ReleasedDecember 5, 2024 June 2026
Context window300K (~450 pages) 4K (~6 pages)
Price (in/out)$0.8/$3.2 per 1M tokens Not published
Open weight?No — API only No — API only
Modalitiestext, image, video, code text, image
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Multimodal input across text, image and video at $0.80/$3.20

Amazon Nova Pro

Apple Foundation Models 3 is comparatively weak here — a genuinely small context window (about 4,096 tokens, shared between input and output) - far below cloud frontier models

Deep AWS and Bedrock integration for enterprise pipelines

Amazon Nova Pro

Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model — and it carries the larger 300K context.

Balanced cost-to-capability for general business tasks

Amazon Nova Pro

Apple Foundation Models 3 is comparatively weak here — not comparable in raw capability to frontier cloud models - built for efficiency and privacy, not benchmark leadership

Runs entirely on-device on iPhone - no API call, no per-token cost, works offline

Apple Foundation Models 3

Apple's on-device model family - genuinely small context and no API access, but private, offline, and free to run on every iPhone — and it is the newer of the two.

The 20B sparse 'Core Advanced' variant lifted on-device output quality from 23% to 46% user preference in Apple's own testing versus the prior generation

Apple Foundation Models 3

Apple Foundation Models 3 lists the 20B sparse 'Core Advanced' variant lifted on-device output quality from 23% to 46% user preference in Apple's own testing versus the prior generation among its strengths; Amazon Nova Pro does not.

Deep integration with iOS apps via the Foundation Models framework, now open to third-party LLM providers too

Apple Foundation Models 3

Apple Foundation Models 3 lists deep integration with iOS apps via the Foundation Models framework, now open to third-party LLM providers too among its strengths; Amazon Nova Pro does not.

Lowest cost at scale

Apple Foundation Models 3

Its weights are open, so at volume you pay for your own hardware instead of Amazon Nova Pro's $0.8/$3.2 per 1M tokens.

Largest single-prompt input

Amazon Nova Pro

Its 300K window is about 73× larger than Apple Foundation Models 3's 4K, fitting roughly 450 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

Apple Foundation Models 3

At Not published it undercuts Amazon Nova Pro, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Amazon Nova Pro

Larger 300K window fits more in one prompt.

Anyone whose priority is multimodal input across text, image and video at $0.80/$3.20

Amazon Nova Pro

It is specifically built for that.

Anyone whose priority is runs entirely on-device on iphone - no api call, no per-token cost, works offline

Apple Foundation Models 3

That is its strongest area.

Amazon Nova Pro: where it fits

Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. Released December 5, 2024 by Amazon, it is built for multimodal input across text, image and video at $0.80/$3.20, deep AWS and Bedrock integration for enterprise pipelines, balanced cost-to-capability for general business tasks, and a 300K context for long documents and mixed media.

Its trade-offs are real: not a frontier reasoning or coding model against 2026 flagships, no published SWE-Bench Verified score, best value is realised inside the AWS ecosystem, and late-2024 model — older than most of the field here. At $0.8 in / $3.2 out per million tokens, it sits in the budget price band.

Apple Foundation Models 3: where it fits

Apple's on-device model family - genuinely small context and no API access, but private, offline, and free to run on every iPhone. Released June 2026 by Apple, it is built for runs entirely on-device on iPhone - no API call, no per-token cost, works offline, the 20B sparse 'Core Advanced' variant lifted on-device output quality from 23% to 46% user preference in Apple's own testing versus the prior generation, deep integration with iOS apps via the Foundation Models framework, now open to third-party LLM providers too, and zero marginal cost and strong privacy - nothing leaves the device.

Its trade-offs: a genuinely small context window (about 4,096 tokens, shared between input and output) - far below cloud frontier models, not comparable in raw capability to frontier cloud models - built for efficiency and privacy, not benchmark leadership, and no public API pricing since it isn't sold per-token - only usable within Apple's own platforms.

The bottom line for this matchup

Amazon Nova Pro and Apple Foundation Models 3 overlap enough that the right pick depends on your specific job. Apple Foundation Models 3 costs less per token; Amazon Nova Pro holds the larger context; and each leads in its own area — Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20, Apple Foundation Models 3 for runs entirely on-device on iphone - no api call, no per-token cost, works offline. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Amazon Nova Pro and Apple Foundation Models 3 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Amazon Nova Pro or Apple Foundation Models 3 better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Amazon Nova Pro leans toward multimodal input across text, image and video at $0.80/$3.20 while Apple Foundation Models 3 leans toward runs entirely on-device on iphone - no api call, no per-token cost, works offline, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Amazon Nova Pro or Apple Foundation Models 3?

Apple Foundation Models 3 is cheaper — $0.8/$3.2 per 1M tokens vs Not published.

Which has the bigger context window?

Amazon Nova Pro — 300K vs 4K, about 73× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Amazon Nova Pro and Apple Foundation Models 3 together?

Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, Apple Foundation Models 3 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Amazon Nova Pro or Apple Foundation Models 3?

Apple Foundation Models 3 — released June 2026, about 18 months after Amazon Nova Pro.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.