# Arize AI Qwen 2 1.5B Instruct vs Gemma 3N E4B Instruct

On provider list prices, Gemma 3N E4B Instruct costs $0.06 per million input tokens against $0.10 for Arize AI Qwen 2 1.5B Instruct: 1.7x apart. Output is $0.12 against $0.10. On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Arize AI Qwen 2 1.5B Instruct | Gemma 3N E4B Instruct |
| --- | --- | --- |
| Lab | Togethercomputer | Google |
| Access | Open weights | Open weights |
| Context window | 32K tokens | 32K tokens |
| List price, input | $0.10 / M tokens | $0.06 / M tokens |
| List price, output | $0.10 / 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 $114 a month on Gemma 3N E4B Instruct and $155 on Arize AI Qwen 2 1.5B Instruct at list: a gap of $41, or 1.4x.

## Choose Arize AI Qwen 2 1.5B Instruct for

- Training toward a model you own

## Choose Gemma 3N E4B Instruct for

- The lower list price ($0.06 in / $0.12 out per M tokens)

## Common questions

### Which is cheaper, Arize AI Qwen 2 1.5B Instruct or Gemma 3N E4B Instruct?

Gemma 3N E4B Instruct, on this workload shape. At list prices it is $0.06/$0.12 per million tokens in and out against $0.10/$0.10 for Arize AI Qwen 2 1.5B Instruct. Billed on Allocate: $0.064/$0.13 against $0.11/$0.11, list plus 7%.

### Which has the bigger context window?

They match: both read 32,768 tokens (32K) per request.

### Can I fine-tune Arize AI Qwen 2 1.5B Instruct or Gemma 3N E4B Instruct?

Both publish open weights (Arize AI Qwen 2 1.5B Instruct: 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/arize-qwen-2-1-5b-instruct-vs-google-gemma-3n-e4b-it) · [Arize AI Qwen 2 1.5B Instruct](https://allocate.network/models/arize-qwen-2-1-5b-instruct.md) · [Gemma 3N E4B Instruct](https://allocate.network/models/google-gemma-3n-e4b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)
