Gemma 3n E4B Instruct Preview (May '25)
By Google · released 2025-05-20 (17 months) · snapshot 2026-10-24
- Intelligence index
- 5.80
Is Gemma 3n E4B Instruct Preview (May '25) on the Pareto frontier, and what beats it?
Not ranked · benchmark data missing
Gemma 3n E4B Instruct Preview (May '25) does not report both selected axis metrics.
Open in the picker Daily check URL: 200 on the frontier, 409 once beaten
Gemma 3n E4B Instruct Preview (May '25) today
Incomplete benchmark data
Intelligence and benchmark cost are both required to place this model on the frontier. Missing data is not a performance verdict.
- Intelligence index
- 5.80
- Benchmark cost
- Not reported
- Input / 1M tokens
- Not reported
- Output / 1M tokens
- Not reported
- Context window
- 32k
Intelligence: Artificial Analysis Intelligence Index. Cost: total cost to run that benchmark, so reasoning tokens count. API id: gemma-3n-e4b-preview-0520.
Compare head to head
Compare Gemma 3n E4B Instruct Preview (May '25) with measured models
Should you use Gemma 3n E4B Instruct Preview (May '25)?
Should you use Gemma 3n E4B Instruct Preview (May '25)?
No verdict: it does not report both intelligence and benchmark cost.
What is better and cheaper than Gemma 3n E4B Instruct Preview (May '25)?
Other models on the intelligence-vs-cost frontier
How much does Gemma 3n E4B Instruct Preview (May '25) cost?
Per-token prices are not reported; - to run the full Artificial Analysis Intelligence Index, the honest all-in number for reasoning models.
Frontier membership by axis pair
Other axis pairs where Gemma 3n E4B Instruct Preview (May '25) is Pareto-optimal.
| Y axis | X axis | On the frontier |
|---|---|---|
| AA intelligence index | AA total cost to run (USD) | no data |
| AA intelligence index | End-to-end total seconds | no data |
| AA intelligence index | Output speed tokens/sec | no data |
Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/models/gemma-3n-e4b-preview-0520 · Markdown: /api/v1/models/gemma-3n-e4b-preview-0520?format=md · llms.txt · agent skill