# OpenAI GPT-OSS 20B vs Qwen3.7 Max

On provider list prices, OpenAI GPT-OSS 20B costs $0.05 per million input tokens against $1.25 for Qwen3.7 Max: 25.0x apart. Output is $0.20 against $3.75 (18.8x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | OpenAI GPT-OSS 20B | Qwen3.7 Max |
| --- | --- | --- |
| Lab | OpenAI | Qwen |
| Access | Open weights | API only |
| Context window | 128K tokens | 1M tokens |
| List price, input | $0.05 / M tokens | $1.25 / M tokens |
| List price, output | $0.20 / M tokens | $3.75 / M tokens |
| Cached input | n/a | $0.13 / M tokens |
| License | Apache 2.0 | Proprietary API |
| Fine-tunable | Yes | No |

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 $130 a month on OpenAI GPT-OSS 20B and $2,813 on Qwen3.7 Max at list: a gap of $2,683, or 21.6x.

Qwen3.7 Max reads 1M tokens per request against 128K for OpenAI GPT-OSS 20B, 7.6x the window. That decides which one can take whole documents without splitting them.

## Choose OpenAI GPT-OSS 20B for

- The lower list price ($0.05 in / $0.20 out per M tokens)
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (Apache 2.0)

## Choose Qwen3.7 Max for

- The longer context window (1M vs 128K tokens)
- Published cached-input pricing ($0.13 per M tokens)

## Common questions

### Which is cheaper, OpenAI GPT-OSS 20B or Qwen3.7 Max?

OpenAI GPT-OSS 20B, on this workload shape. At list prices it is $0.05/$0.20 per million tokens in and out against $1.25/$3.75 for Qwen3.7 Max. Billed on Allocate: $0.053/$0.21 against $1.34/$4.01, list plus 7%.

### Which has the bigger context window?

Qwen3.7 Max: 1,000,000 tokens (1M) against 131,072 (128K) for OpenAI GPT-OSS 20B.

### Can I fine-tune OpenAI GPT-OSS 20B or Qwen3.7 Max?

OpenAI GPT-OSS 20B publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Qwen3.7 Max is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/openai-gpt-oss-20b-vs-qwen-qwen3-7-max) · [OpenAI GPT-OSS 20B](https://allocate.network/models/openai-gpt-oss-20b.md) · [Qwen3.7 Max](https://allocate.network/models/qwen-qwen3-7-max.md) · [Machine-readable catalog](https://allocate.network/catalog.json)