# Qwen3 235B A22B Instruct 2507 FP8 Throughput

Qwen3 235B A22B Instruct 2507 FP8 Throughput is a language model from Qwen with a 256K-token context window. Provider list price is $0.20 per million input tokens and $0.60 per million output; on Allocate you pay $0.21 and $0.64 with the 7% transaction fee. The weights are open under Apache 2.0, so you can fine-tune it and own the result.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $0.20 | $0.21 |
| Output, per M tokens | $0.60 | $0.64 |

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

## Facts

| Field | Value |
| --- | --- |
| Lab | Qwen |
| Modality | Language |
| Context window | 256K tokens |
| License | Apache 2.0 |
| Open weights | Yes |
| Fine-tunable | Yes, on your data |
| Catalog id | qwen/qwen3-235b-a22b-instruct-2507-tput |

## What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.20 + 350 × $0.60 = $450 a month. Billed on Allocate it is $481.50 with the 7% transaction fee.

## Common questions

### How much does Qwen3 235B A22B Instruct 2507 FP8 Throughput cost per million tokens?

Provider list price is $0.20 per million input tokens and $0.60 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.21 in and $0.64 out.

### What context window does Qwen3 235B A22B Instruct 2507 FP8 Throughput have?

262,144 tokens (256K). At roughly 0.75 words per token, that is about 197k words of English text per request.

### Can I fine-tune Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Yes. Qwen3 235B A22B Instruct 2507 FP8 Throughput is an open-weights model under the Apache 2.0 license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

### How do I call Qwen3 235B A22B Instruct 2507 FP8 Throughput on Allocate?

Send qwen/qwen3-235b-a22b-instruct-2507-tput in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

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[HTML page](https://allocate.network/models/qwen-qwen3-235b-a22b-instruct-2507-tput) · [Machine-readable catalog](https://allocate.network/catalog.json)