# DeepSeek R1 0528 NVFP4 vs Qwen3.7 Max

On provider list prices, Qwen3.7 Max costs $1.25 per million input tokens against $3 for DeepSeek R1 0528 NVFP4: 2.4x apart. Output is $3.75 against $7 (1.9x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | DeepSeek R1 0528 NVFP4 | Qwen3.7 Max |
| --- | --- | --- |
| Lab | Deepseek | Qwen |
| Access | Open weights | API only |
| Context window | 160K tokens | 1M tokens |
| List price, input | $3 / M tokens | $1.25 / M tokens |
| List price, output | $7 / M tokens | $3.75 / M tokens |
| Cached input | n/a | $0.13 / M tokens |
| License | MIT | 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 $2,813 a month on Qwen3.7 Max and $6,050 on DeepSeek R1 0528 NVFP4 at list: a gap of $3,238, or 2.2x.

Qwen3.7 Max reads 1M tokens per request against 160K for DeepSeek R1 0528 NVFP4, 6.1x the window. That decides which one can take whole documents without splitting them.

## Choose DeepSeek R1 0528 NVFP4 for

- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (MIT)

## Choose Qwen3.7 Max for

- The lower list price ($1.25 in / $3.75 out per M tokens)
- The longer context window (1M vs 160K tokens)
- Published cached-input pricing ($0.13 per M tokens)

## Common questions

### Which is cheaper, DeepSeek R1 0528 NVFP4 or Qwen3.7 Max?

Qwen3.7 Max, on this workload shape. At list prices it is $1.25/$3.75 per million tokens in and out against $3/$7 for DeepSeek R1 0528 NVFP4. Billed on Allocate: $1.34/$4.01 against $3.21/$7.49, list plus 7%.

### Which has the bigger context window?

Qwen3.7 Max: 1,000,000 tokens (1M) against 163,840 (160K) for DeepSeek R1 0528 NVFP4.

### Can I fine-tune DeepSeek R1 0528 NVFP4 or Qwen3.7 Max?

DeepSeek R1 0528 NVFP4 publishes open weights (MIT) 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/deepseek-deepseek-r1-0528-vs-qwen-qwen3-7-max) · [DeepSeek R1 0528 NVFP4](https://allocate.network/models/deepseek-deepseek-r1-0528.md) · [Qwen3.7 Max](https://allocate.network/models/qwen-qwen3-7-max.md) · [Machine-readable catalog](https://allocate.network/catalog.json)