# OpenAI GPT-OSS 120B vs Qwen3 235B A22B Instruct 2507 FP8 Throughput

On provider list prices, OpenAI GPT-OSS 120B costs $0.15 per million input tokens against $0.20 for Qwen3 235B A22B Instruct 2507 FP8 Throughput: 1.3x apart. Output is $0.60 against $0.60. On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | OpenAI GPT-OSS 120B | Qwen3 235B A22B Instruct 2507 FP8 Throughput |
| --- | --- | --- |
| Lab | OpenAI | Qwen |
| Access | Open weights | Open weights |
| Context window | 128K tokens | 256K tokens |
| List price, input | $0.15 / M tokens | $0.20 / M tokens |
| List price, output | $0.60 / M tokens | $0.60 / M tokens |
| Cached input | n/a | n/a |
| License | Custom license | Apache 2.0 |
| 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 $450 on Qwen3 235B A22B Instruct 2507 FP8 Throughput at list: a gap of $60, or 1.2x.

Qwen3 235B A22B Instruct 2507 FP8 Throughput reads 256K tokens per request against 128K for OpenAI GPT-OSS 120B, 2.0x 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)

## Choose Qwen3 235B A22B Instruct 2507 FP8 Throughput for

- The longer context window (256K vs 128K tokens)
- Fine-tuning under a permissive license (Apache 2.0)

## Common questions

### Which is cheaper, OpenAI GPT-OSS 120B or Qwen3 235B A22B Instruct 2507 FP8 Throughput?

OpenAI GPT-OSS 120B, on this workload shape. At list prices it is $0.15/$0.60 per million tokens in and out against $0.20/$0.60 for Qwen3 235B A22B Instruct 2507 FP8 Throughput. Billed on Allocate: $0.16/$0.64 against $0.21/$0.64, list plus 7%.

### Which has the bigger context window?

Qwen3 235B A22B Instruct 2507 FP8 Throughput: 262,144 tokens (256K) against 131,072 (128K) for OpenAI GPT-OSS 120B.

### Can I fine-tune OpenAI GPT-OSS 120B or Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Both publish open weights (OpenAI GPT-OSS 120B: Custom license; Qwen3 235B A22B Instruct 2507 FP8 Throughput: 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/openai-gpt-oss-120b-vs-qwen-qwen3-235b-a22b-instruct-2507-tput) · [OpenAI GPT-OSS 120B](https://allocate.network/models/openai-gpt-oss-120b.md) · [Qwen3 235B A22B Instruct 2507 FP8 Throughput](https://allocate.network/models/qwen-qwen3-235b-a22b-instruct-2507-tput.md) · [Machine-readable catalog](https://allocate.network/catalog.json)