# Qwen 3.5

Qwen 3.5 is a language model from Qwen with a 256K-token context window. Provider list price is $0.60 per million input tokens and $3.60 per million output; on Allocate you pay $0.64 and $3.85. 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 | $0.60 | $0.64 |
| Output, per M tokens | $3.60 | $3.85 |
| Cached input, per M tokens | $0.35 | $0.37 |

Prices checked 2026-07-21.

## 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/qwen3.5-397b-a17b |

## 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 × $0.60 + 350 × $3.60 = $1,980 a month. Billed on Allocate it is $2,119.

## Where it fits

Alibaba’s multilingual open-weight MoE, Apache 2.0 licensed: 397B parameters with 17B active and 256K context. The open pick when your traffic is not only English, and the weights you fine-tune are yours.

- Multilingual support agents
- Translation-adjacent workflows
- Fine-tuning under Apache 2.0

## Common questions

### How much does Qwen 3.5 cost per million tokens?

Provider list price is $0.60 per million input tokens and $3.60 per million output tokens. On Allocate you pay $0.64 in and $3.85 out.

### What context window does Qwen 3.5 have?

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

### What does cached input cost on Qwen 3.5?

$0.35 per million tokens at list ($0.37 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.

### Can I fine-tune Qwen 3.5?

Yes. Qwen 3.5 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 Qwen 3.5 on Allocate?

Send qwen/qwen3.5-397b-a17b 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-3-5) · [Machine-readable catalog](https://allocate.network/catalog.json)