# Qwen3.7 Max

Qwen3.7 Max is a language model from Qwen with a 1M-token context window. Provider list price is $1.25 per million input tokens and $3.75 per million output; on Allocate you pay $1.34 and $4.01 with the 7% transaction fee. It is a closed model served over API; the weights are not published.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $1.25 | $1.34 |
| Output, per M tokens | $3.75 | $4.01 |
| Cached input, per M tokens | $0.13 | $0.13 |

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 | 1M tokens |
| License | Proprietary API |
| Open weights | No |
| Fine-tunable | No |
| Catalog id | qwen/qwen3.7-max |

## 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 × $1.25 + 350 × $3.75 = $2,813 a month. Billed on Allocate it is $3,009 with the 7% transaction fee.

## Common questions

### How much does Qwen3.7 Max cost per million tokens?

Provider list price is $1.25 per million input tokens and $3.75 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $1.34 in and $4.01 out.

### What context window does Qwen3.7 Max have?

1,000,000 tokens (1M). At roughly 0.75 words per token, that is about 750k words of English text per request.

### What does cached input cost on Qwen3.7 Max?

$0.13 per million tokens at list ($0.13 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 Qwen3.7 Max?

No. Qwen3.7 Max is a closed model served over API; the weights are not published. If you want a model you can train and own, start from an open-weights base in the catalog and fine-tune that.

### How do I call Qwen3.7 Max on Allocate?

Send qwen/qwen3.7-max 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-qwen3-7-max) · [Machine-readable catalog](https://allocate.network/catalog.json)