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Head-to-head comparison

gemma 3n E2B it vs Phi 3.5 mini instruct

gemma 3n E2B it (Google) and Phi 3.5 mini instruct (Microsoft) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 22 September 2026

As of 22 September 2026, gemma 3n E2B it holds the stronger ModelCap Index position (#182 vs #185); and Phi 3.5 mini instruct ships open weights.

Which should you choose?

Choose gemma 3n E2B it if…

  • you want the stronger overall ModelCap Index position — #182 against #185 (27.3 vs 24.2 points).
  • you want the more recently listed model — gemma 3n E2B it was listed 12 June 2025, Phi 3.5 mini instruct 16 August 2024.

Choose Phi 3.5 mini instruct if…

  • you want to self-host: Phi 3.5 mini instruct ships open weights while gemma 3n E2B it is gated access.

gemma 3n E2B it vs Phi 3.5 mini instruct: specs, pricing and context

Specification comparison of gemma 3n E2B it and Phi 3.5 mini instruct
Fieldgemma 3n E2B itGooglePhi 3.5 mini instructMicrosoft
ModelCap Index position#182#185
Index score27.324.2
EvidenceInheritedEstimated
Input price / 1M tokensUnlistedUnlisted
Output price / 1M tokensUnlistedUnlisted
Context window— tokens— tokens
Max output tokens
API providers listed00
Weight accessGated accessOpen weights
Input modalitiesText, ImageText
First listed12 June 202516 August 2024
PublisherGoogleMicrosoft

Evidence: finetune of google/gemma-3n-E4B-it · finetune (100%) · global-corpus-prior over 208 held-out anchors (26%); launch card against 4 resolved peers on 6 rows (74%); exceeds every named peer on 1 of 6 rows; optimism haircut 0.67 from cross-lab-probe; shrunk 11.5 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: gemma 3n E2B it vs Phi 3.5 mini instruct

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

gemma 3n E2B it vs Phi 3.5 mini instruct: common questions

Is gemma 3n E2B it better than Phi 3.5 mini instruct?

gemma 3n E2B it ranks higher on the ModelCap Index as of 22 September 2026: #182 against #185. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is gemma 3n E2B it cheaper than Phi 3.5 mini instruct?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, gemma 3n E2B it or Phi 3.5 mini instruct?

Both publish a —-token context window.

Which is better for coding, gemma 3n E2B it or Phi 3.5 mini instruct?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are gemma 3n E2B it and Phi 3.5 mini instruct open-weight models?

gemma 3n E2B it: Gated access. Phi 3.5 mini instruct: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run gemma 3n E2B it and Phi 3.5 mini instruct?

ModelCap currently lists 0 API providers for gemma 3n E2B it and 0 for Phi 3.5 mini instruct, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this gemma 3n E2B it vs Phi 3.5 mini instruct comparison?

Every figure comes from the sealed ModelCap dataset published 22 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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