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Head-to-head comparison

Gemma 3n 4B vs GPT-4 Turbo

Gemma 3n 4B (Google) and GPT-4 Turbo (OpenAI) 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 18 August 2026

As of 18 August 2026, GPT-4 Turbo holds the stronger ModelCap Index position (#174 vs #176); Gemma 3n 4B is 250× cheaper per output token ($0.12/1M vs $30.00/1M); and GPT-4 Turbo offers the longer context window (128K vs 33K tokens).

Which should you choose?

Choose Gemma 3n 4B if…

  • API cost matters — $0.12/1M output tokens against $30.00/1M, about 250× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.06/1M against $10.00/1M.
  • you want the more recently listed model — Gemma 3n 4B was listed 20 May 2025, GPT-4 Turbo 9 April 2024.

Choose GPT-4 Turbo if…

  • you want the stronger overall ModelCap Index position — #174 against #176 (20.9 vs 20.4 points).
  • you need the longer context window — 128K tokens against 33K.
  • Arena coding is your yardstick — 1347 against 1308.

Gemma 3n 4B vs GPT-4 Turbo: specs, pricing and context

Specification comparison of Gemma 3n 4B and GPT-4 Turbo
FieldGemma 3n 4BGoogleGPT-4 TurboOpenAI
ModelCap Index position#176#174
Index score20.420.9
EvidenceMeasuredMeasured
Input price / 1M tokens$0.06$10.00
Output price / 1M tokens$0.12$30.00
Context window33K tokens128K tokens
Max output tokens—4K
API providers listed11
Weight accessGated accessAPI only
Input modalitiesTextText, Image
First listed20 May 20259 April 2024
PublisherGoogleOpenAI

Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Gemma 3n 4B vs GPT-4 Turbo

Public benchmark boards where Gemma 3n 4B or GPT-4 Turbo has a published result
BoardGemma 3n 4BGPT-4 TurboLeads
Arena codingArena (LMArena)13081298–131813471340–1354GPT-4 Turbo
Artificial Analysis Intelligence IndexArtificial Analysis—7.7intelligence-indexOnly one result

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 4B vs GPT-4 Turbo: common questions

Is Gemma 3n 4B better than GPT-4 Turbo?

GPT-4 Turbo ranks higher on the ModelCap Index as of 18 August 2026: #174 against #176. 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.

Is Gemma 3n 4B cheaper than GPT-4 Turbo?

Gemma 3n 4B is cheaper on output tokens: $0.12/1M against $30.00/1M. Input tokens are $0.06/1M for Gemma 3n 4B and $10.00/1M for GPT-4 Turbo. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Gemma 3n 4B or GPT-4 Turbo?

GPT-4 Turbo has the larger context window: 128K tokens against 33K.

Which is better for coding, Gemma 3n 4B or GPT-4 Turbo?

Arena coding: Gemma 3n 4B 1308, GPT-4 Turbo 1347 — GPT-4 Turbo leads.

Are Gemma 3n 4B and GPT-4 Turbo open-weight models?

Gemma 3n 4B: Gated access. GPT-4 Turbo: API only. 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 4B and GPT-4 Turbo?

ModelCap currently lists 1 API provider for Gemma 3n 4B and 1 for GPT-4 Turbo, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Gemma 3n 4B vs GPT-4 Turbo comparison?

Every figure comes from the sealed ModelCap dataset published 18 August 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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