# OpenAI GPT-OSS 120B vs Qwen2.5 7B Instruct Turbo

On provider list prices, Qwen2.5 7B Instruct Turbo costs $0.30 per million input tokens against $0.15 for OpenAI GPT-OSS 120B: effectively level. Output is $0.30 against $0.60 (2.0x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | OpenAI GPT-OSS 120B | Qwen2.5 7B Instruct Turbo |
| --- | --- | --- |
| Lab | OpenAI | Qwen |
| Access | Open weights | Open weights |
| Context window | 128K tokens | 32K tokens |
| List price, input | $0.15 / M tokens | $0.30 / M tokens |
| List price, output | $0.60 / M tokens | $0.30 / M tokens |
| Cached input | n/a | n/a |
| License | Custom license | Qwen license |
| 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 $390 a month on OpenAI GPT-OSS 120B and $465 on Qwen2.5 7B Instruct Turbo at list: a gap of $75, or 1.2x.

OpenAI GPT-OSS 120B reads 128K tokens per request against 32K for Qwen2.5 7B Instruct Turbo, 4.0x the window. That decides which one can take whole documents without splitting them.

## Choose OpenAI GPT-OSS 120B for

- The lower list price ($0.15 in / $0.60 out per M tokens)
- The longer context window (128K vs 32K tokens)

## Choose Qwen2.5 7B Instruct Turbo for

- Training toward a model you own

## Common questions

### Which is cheaper, OpenAI GPT-OSS 120B or Qwen2.5 7B Instruct Turbo?

OpenAI GPT-OSS 120B, on this workload shape. At list prices it is $0.15/$0.60 per million tokens in and out against $0.30/$0.30 for Qwen2.5 7B Instruct Turbo. Billed on Allocate: $0.16/$0.64 against $0.32/$0.32, list plus 7%.

### Which has the bigger context window?

OpenAI GPT-OSS 120B: 131,072 tokens (128K) against 32,768 (32K) for Qwen2.5 7B Instruct Turbo.

### Can I fine-tune OpenAI GPT-OSS 120B or Qwen2.5 7B Instruct Turbo?

Both publish open weights (OpenAI GPT-OSS 120B: Custom license; Qwen2.5 7B Instruct Turbo: Qwen license), 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/openai-gpt-oss-120b-vs-qwen-qwen2-5-7b-instruct-turbo) · [OpenAI GPT-OSS 120B](https://allocate.network/models/openai-gpt-oss-120b.md) · [Qwen2.5 7B Instruct Turbo](https://allocate.network/models/qwen-qwen2-5-7b-instruct-turbo.md) · [Machine-readable catalog](https://allocate.network/catalog.json)