# Arize AI Qwen 2 1.5B Instruct vs OpenAI GPT-OSS 20B

On provider list prices, Arize AI Qwen 2 1.5B Instruct costs $0.10 per million input tokens against $0.05 for OpenAI GPT-OSS 20B: effectively level. Output is $0.10 against $0.20 (2.0x).

## Specifications

| | Arize AI Qwen 2 1.5B Instruct | OpenAI GPT-OSS 20B |
| --- | --- | --- |
| Lab | Togethercomputer | OpenAI |
| Access | Open weights | Open weights |
| Context window | 32K tokens | 128K tokens |
| List price, input | $0.10 / M tokens | $0.05 / M tokens |
| List price, output | $0.10 / M tokens | $0.20 / M tokens |
| Cached input | n/a | n/a |
| License | Not listed | Apache 2.0 |
| Fine-tunable | Yes | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $130 a month on OpenAI GPT-OSS 20B and $155 on Arize AI Qwen 2 1.5B Instruct at list: a gap of $25, or 1.2x.

OpenAI GPT-OSS 20B reads 128K tokens per request against 32K for Arize AI Qwen 2 1.5B Instruct, 4.0x the window. That decides which one can take whole documents without splitting them.

## Choose Arize AI Qwen 2 1.5B Instruct for

- Training toward a model you own

## Choose OpenAI GPT-OSS 20B for

- The lower list price ($0.05 in / $0.20 out per M tokens)
- The longer context window (128K vs 32K tokens)
- Fine-tuning under a permissive license (Apache 2.0)

## Common questions

### Which is cheaper, Arize AI Qwen 2 1.5B Instruct or OpenAI GPT-OSS 20B?

OpenAI GPT-OSS 20B, on this workload shape. At list prices it is $0.05/$0.20 per million tokens in and out against $0.10/$0.10 for Arize AI Qwen 2 1.5B Instruct. Billed on Allocate: $0.053/$0.21 against $0.11/$0.11.

### Which has the bigger context window?

OpenAI GPT-OSS 20B: 131,072 tokens (128K) against 32,768 (32K) for Arize AI Qwen 2 1.5B Instruct.

### Can I fine-tune Arize AI Qwen 2 1.5B Instruct or OpenAI GPT-OSS 20B?

Both publish open weights (Arize AI Qwen 2 1.5B Instruct: Not listed; OpenAI GPT-OSS 20B: Apache 2.0), 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-openai-gpt-oss-20b) · [Arize AI Qwen 2 1.5B Instruct](https://allocate.network/models/arize-qwen-2-1-5b-instruct.md) · [OpenAI GPT-OSS 20B](https://allocate.network/models/openai-gpt-oss-20b.md) · [Machine-readable catalog](https://allocate.network/catalog.json)