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. Pick Gemini 3.8 Flash for long-horizon agentic coding (deepswe v1.1) or cost-efficient workhorse performance beating larger models at same price as 3.7 flash. On a tight budget at scale, Apple Foundation Models 3 is the value pick.
Apple Foundation Models 3 (Apple) and Gemini 3.8 Flash (Google DeepMind) are two of the models people most often weigh against each other in 2026. 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. Gemini 3.8 Flash is google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Context window: Gemini 3.8 Flash holds 244× more — 1M tokens (~1,500 pages) vs 4K (~6 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Gemini 3.8 Flash is the newer model by about 3 months (released September 2, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Apple Foundation Models 3
Gemini 3.8 Flash
Provider
Apple (US)
Google DeepMind (US)
Released
June 2026
September 2, 2026
Context window
4K (~6 pages)
1M tokens (~1,500 pages)
Price (in/out)
Not published
$0.75/$3.75 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image
text, image, audio, video
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Runs entirely on-device on iPhone - no API call, no per-token cost, works offline: Apple Foundation Models 3 — Apple Foundation Models 3 lists runs entirely on-device on iPhone - no API call, no per-token cost, works offline among its strengths; Gemini 3.8 Flash does not.
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; Gemini 3.8 Flash does not.
Deep integration with iOS apps via the Foundation Models framework, now open to third-party LLM providers too: Apple Foundation Models 3 — Gemini 3.8 Flash is comparatively weak here — hLE-Verified score (54.9%) trails top frontier reasoning models
Long-horizon agentic coding (DeepSWE v1.1): Gemini 3.8 Flash — Its 1M tokens window holds about 244× more than Apple Foundation Models 3's 4K in a single prompt.
Cost-efficient workhorse performance beating larger models at same price as 3.7 Flash: Gemini 3.8 Flash — 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
Vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%): Gemini 3.8 Flash — 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
Lowest cost at scale: Apple Foundation Models 3 — Its weights are open, so at volume you pay for your own hardware instead of Gemini 3.8 Flash's $0.75/$3.75 per 1M tokens.
Largest single-prompt input: Gemini 3.8 Flash — Its 1M tokens window is about 244× larger than Apple Foundation Models 3's 4K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Apple Foundation Models 3 — At Not published it undercuts Gemini 3.8 Flash, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.8 Flash — Larger 1M tokens window fits more in one prompt.
Anyone whose priority is runs entirely on-device on iphone - no api call, no per-token cost, works offline: Apple Foundation Models 3 — It is specifically built for that.
Anyone whose priority is long-horizon agentic coding (deepswe v1.1): Gemini 3.8 Flash — That is its strongest area.
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 are real: 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.
Gemini 3.8 Flash: where it fits
Google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. Released September 2, 2026 by Google DeepMind, it is built for long-horizon agentic coding (DeepSWE v1.1), cost-efficient workhorse performance beating larger models at same price as 3.7 Flash, vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%), and prompt-injection robustness (Gray Swan benchmark).
Its trade-offs: still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased), introductory price doubles on January 1, 2027, hLE-Verified score (54.9%) trails top frontier reasoning models, and built on the same base model as Gemini 3.7 Flash (a post-training update, not a freshly pretrained model). At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Apple Foundation Models 3 and Gemini 3.8 Flash overlap enough that the right pick depends on your specific job. Apple Foundation Models 3 costs less per token; Gemini 3.8 Flash holds the larger context; and each leads in its own area — Apple Foundation Models 3 for runs entirely on-device on iphone - no api call, no per-token cost, works offline, Gemini 3.8 Flash for long-horizon agentic coding (deepswe v1.1). Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Apple Foundation Models 3 or Gemini 3.8 Flash 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, Apple Foundation Models 3 leans toward runs entirely on-device on iphone - no api call, no per-token cost, works offline while Gemini 3.8 Flash leans toward long-horizon agentic coding (deepswe v1.1), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Apple Foundation Models 3 or Gemini 3.8 Flash?
Apple Foundation Models 3 is cheaper — Not published vs $0.75/$3.75 per 1M tokens.
Which has the bigger context window?
Gemini 3.8 Flash — 1M tokens vs 4K, about 244× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Apple Foundation Models 3 and Gemini 3.8 Flash together?
Yes — a multi-model platform like LumiChats gives you Apple Foundation Models 3, Gemini 3.8 Flash 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, Apple Foundation Models 3 or Gemini 3.8 Flash?
Gemini 3.8 Flash — released September 2, 2026, about 3 months after Apple Foundation Models 3.
Apple Foundation Models 3 vs Gemini 3.8 Flash
Apple · US | Google DeepMind · US · Updated June 2026
Quick verdict
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. Pick Gemini 3.8 Flash for long-horizon agentic coding (deepswe v1.1) or cost-efficient workhorse performance beating larger models at same price as 3.7 flash. On a tight budget at scale, Apple Foundation Models 3 is the value pick.
Apple Foundation Models 3 (Apple) and Gemini 3.8 Flash (Google DeepMind) are two of the models people most often weigh against each other in 2026. 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. Gemini 3.8 Flash is google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Context window: Gemini 3.8 Flash holds 244× more — 1M tokens (~1,500 pages) vs 4K (~6 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Gemini 3.8 Flash is the newer model by about 3 months (released September 2, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Apple Foundation Models 3
Gemini 3.8 Flash
Provider
Apple (US)
Google DeepMind (US)
Released
June 2026
September 2, 2026
Context window
4K (~6 pages)
1M tokens (~1,500 pages)
Price (in/out)
Not published
$0.75/$3.75 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image
text, image, audio, video
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Runs entirely on-device on iPhone - no API call, no per-token cost, works offline
Apple Foundation Models 3
Apple Foundation Models 3 lists runs entirely on-device on iPhone - no API call, no per-token cost, works offline among its strengths; Gemini 3.8 Flash does not.
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; Gemini 3.8 Flash does not.
Deep integration with iOS apps via the Foundation Models framework, now open to third-party LLM providers too
Apple Foundation Models 3
Gemini 3.8 Flash is comparatively weak here — hLE-Verified score (54.9%) trails top frontier reasoning models
Long-horizon agentic coding (DeepSWE v1.1)
Gemini 3.8 Flash
Its 1M tokens window holds about 244× more than Apple Foundation Models 3's 4K in a single prompt.
Cost-efficient workhorse performance beating larger models at same price as 3.7 Flash
Gemini 3.8 Flash
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
Vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%)
Gemini 3.8 Flash
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
Lowest cost at scale
Apple Foundation Models 3
Its weights are open, so at volume you pay for your own hardware instead of Gemini 3.8 Flash's $0.75/$3.75 per 1M tokens.
Largest single-prompt input
Gemini 3.8 Flash
Its 1M tokens window is about 244× larger than Apple Foundation Models 3's 4K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Apple Foundation Models 3
At Not published it undercuts Gemini 3.8 Flash, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.8 Flash
Larger 1M tokens window fits more in one prompt.
Anyone whose priority is runs entirely on-device on iphone - no api call, no per-token cost, works offline
→ Apple Foundation Models 3
It is specifically built for that.
Anyone whose priority is long-horizon agentic coding (deepswe v1.1)
→ Gemini 3.8 Flash
That is its strongest area.
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 are real: 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.
Gemini 3.8 Flash: where it fits
Google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. Released September 2, 2026 by Google DeepMind, it is built for long-horizon agentic coding (DeepSWE v1.1), cost-efficient workhorse performance beating larger models at same price as 3.7 Flash, vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%), and prompt-injection robustness (Gray Swan benchmark).
Its trade-offs: still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased), introductory price doubles on January 1, 2027, hLE-Verified score (54.9%) trails top frontier reasoning models, and built on the same base model as Gemini 3.7 Flash (a post-training update, not a freshly pretrained model). At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Apple Foundation Models 3 and Gemini 3.8 Flash overlap enough that the right pick depends on your specific job. Apple Foundation Models 3 costs less per token; Gemini 3.8 Flash holds the larger context; and each leads in its own area — Apple Foundation Models 3 for runs entirely on-device on iphone - no api call, no per-token cost, works offline, Gemini 3.8 Flash for long-horizon agentic coding (deepswe v1.1). Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Apple Foundation Models 3 and Gemini 3.8 Flash 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.
Is Apple Foundation Models 3 or Gemini 3.8 Flash 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, Apple Foundation Models 3 leans toward runs entirely on-device on iphone - no api call, no per-token cost, works offline while Gemini 3.8 Flash leans toward long-horizon agentic coding (deepswe v1.1), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Apple Foundation Models 3 or Gemini 3.8 Flash?
Apple Foundation Models 3 is cheaper — Not published vs $0.75/$3.75 per 1M tokens.
Which has the bigger context window?
Gemini 3.8 Flash — 1M tokens vs 4K, about 244× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Apple Foundation Models 3 and Gemini 3.8 Flash together?
Yes — a multi-model platform like LumiChats gives you Apple Foundation Models 3, Gemini 3.8 Flash 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, Apple Foundation Models 3 or Gemini 3.8 Flash?
Gemini 3.8 Flash — released September 2, 2026, about 3 months after Apple Foundation Models 3.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.