# Trinity Mini vs Gemma 3N E4B Instruct

On provider list prices, Gemma 3N E4B Instruct costs $0.06 per million input tokens against $0.045 for Trinity Mini: effectively level. Output is $0.12 against $0.15 (1.3x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Trinity Mini | Gemma 3N E4B Instruct |
| --- | --- | --- |
| Lab | Arcee AI | Google |
| Access | Open weights | Open weights |
| Context window | 128K tokens | 32K tokens |
| List price, input | $0.045 / M tokens | $0.06 / M tokens |
| List price, output | $0.15 / M tokens | $0.12 / M tokens |
| Cached input | n/a | n/a |
| License | Not listed | Gemma terms |
| Fine-tunable | Yes | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $106.50 a month on Trinity Mini and $114 on Gemma 3N E4B Instruct at list: a gap of $7.50.

Trinity Mini reads 128K tokens per request against 32K for Gemma 3N E4B Instruct, 3.9x the window. That decides which one can take whole documents without splitting them.

## Choose Trinity Mini for

- The lower list price ($0.045 in / $0.15 out per M tokens)
- The longer context window (128K vs 32K tokens)

## Choose Gemma 3N E4B Instruct for

- Training toward a model you own

## Common questions

### Which is cheaper, Trinity Mini or Gemma 3N E4B Instruct?

Trinity Mini, on this workload shape. At list prices it is $0.045/$0.15 per million tokens in and out against $0.06/$0.12 for Gemma 3N E4B Instruct. Billed on Allocate: $0.048/$0.16 against $0.064/$0.13, list plus 7%.

### Which has the bigger context window?

Trinity Mini: 128,000 tokens (128K) against 32,768 (32K) for Gemma 3N E4B Instruct.

### Can I fine-tune Trinity Mini or Gemma 3N E4B Instruct?

Both publish open weights (Trinity Mini: Not listed; Gemma 3N E4B Instruct: Gemma terms), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/arcee-trinity-mini-vs-google-gemma-3n-e4b-it) · [Trinity Mini](https://allocate.network/models/arcee-trinity-mini.md) · [Gemma 3N E4B Instruct](https://allocate.network/models/google-gemma-3n-e4b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)