# Qwen 2 Instruct (1.5B) vs Ox Alpha

On provider list prices, Ox Alpha costs $0 per million input tokens against $0.02 for Qwen 2 Instruct (1.5B): 200.0x apart. Output is $0 against $0.02 (200.0x).

## Specifications

| | Qwen 2 Instruct (1.5B) | Ox Alpha |
| --- | --- | --- |
| Lab | Qwen | Stealth |
| Access | Open weights | API only |
| Context window | 32K tokens | 1M tokens |
| List price, input | $0.02 / M tokens | $0 / M tokens |
| List price, output | $0.02 / M tokens | $0 / M tokens |
| Cached input | n/a | n/a |
| License | Qwen license | Proprietary API |
| Fine-tunable | Yes | No |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $0 a month on Ox Alpha and $31 on Qwen 2 Instruct (1.5B) at list: a gap of $31, or Infinityx.

Ox Alpha reads 1M tokens per request against 32K for Qwen 2 Instruct (1.5B), 32.0x the window. That decides which one can take whole documents without splitting them.

## Choose Qwen 2 Instruct (1.5B) for

- Open weights you can fine-tune and own

## Choose Ox Alpha for

- The lower list price ($0 in / $0 out per M tokens)
- The longer context window (1M vs 32K tokens)

## Common questions

### Which is cheaper, Qwen 2 Instruct (1.5B) or Ox Alpha?

Ox Alpha, on this workload shape. At list prices it is $0/$0 per million tokens in and out against $0.02/$0.02 for Qwen 2 Instruct (1.5B). Billed on Allocate: $0/$0 against $0.021/$0.021.

### Which has the bigger context window?

Ox Alpha: 1,048,576 tokens (1M) against 32,768 (32K) for Qwen 2 Instruct (1.5B).

### Can I fine-tune Qwen 2 Instruct (1.5B) or Ox Alpha?

Qwen 2 Instruct (1.5B) publishes open weights (Qwen license) and can be fine-tuned on your own data. Ox Alpha is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/qwen-qwen2-1-5b-instruct-vs-stealth-ox-alpha) · [Qwen 2 Instruct (1.5B)](https://allocate.network/models/qwen-qwen2-1-5b-instruct.md) · [Ox Alpha](https://allocate.network/models/stealth-ox-alpha.md) · [Machine-readable catalog](https://allocate.network/catalog.json)
