# Deepseek V3.1 NVFP4 vs Qwen 3.5

On provider list prices, Deepseek V3.1 NVFP4 costs $0.60 per million input tokens against $0.60 for Qwen 3.5: effectively level. Output is $1.70 against $3.60 (2.1x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Deepseek V3.1 NVFP4 | Qwen 3.5 |
| --- | --- | --- |
| Lab | DeepSeek | Qwen |
| Access | Open weights | Open weights |
| Context window | 128K tokens | 256K tokens |
| List price, input | $0.60 / M tokens | $0.60 / M tokens |
| List price, output | $1.70 / M tokens | $3.60 / M tokens |
| Cached input | n/a | $0.35 / M tokens |
| License | MIT | 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 $1,315 a month on Deepseek V3.1 NVFP4 and $1,980 on Qwen 3.5 at list: a gap of $665, or 1.5x.

Qwen 3.5 reads 256K tokens per request against 128K for Deepseek V3.1 NVFP4, 2.0x the window. That decides which one can take whole documents without splitting them.

## Choose Deepseek V3.1 NVFP4 for

- Fine-tuning under a permissive license (MIT)

## Choose Qwen 3.5 for

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

## Common questions

### Which is cheaper, Deepseek V3.1 NVFP4 or Qwen 3.5?

Deepseek V3.1 NVFP4, on this workload shape. At list prices it is $0.60/$1.70 per million tokens in and out against $0.60/$3.60 for Qwen 3.5. Billed on Allocate: $0.64/$1.82 against $0.64/$3.85, list plus 7%.

### Which has the bigger context window?

Qwen 3.5: 262,144 tokens (256K) against 131,072 (128K) for Deepseek V3.1 NVFP4.

### Can I fine-tune Deepseek V3.1 NVFP4 or Qwen 3.5?

Both publish open weights (Deepseek V3.1 NVFP4: MIT; Qwen 3.5: 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/deepseek-deepseek-v3-1-vs-qwen-3-5) · [Deepseek V3.1 NVFP4](https://allocate.network/models/deepseek-deepseek-v3-1.md) · [Qwen 3.5](https://allocate.network/models/qwen-3-5.md) · [Machine-readable catalog](https://allocate.network/catalog.json)