# FLUX.1 Schnell vs DeepSeek R1 0528 NVFP4

FLUX.1 Schnell is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.

## Specifications

| | FLUX.1 Schnell | DeepSeek R1 0528 NVFP4 |
| --- | --- | --- |
| Lab | Black Forest Labs | Deepseek |
| Access | Not served on Allocate | Open weights |
| Context window | n/a | 160K tokens |
| List price, input | Not served | $3 / M tokens |
| List price, output | Not served | $7 / M tokens |
| Cached input | n/a | n/a |
| License | Not listed | MIT |
| Fine-tunable | Yes | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

## Choose FLUX.1 Schnell for

- Draft and thumbnail generation
- High-volume image pipelines
- Open-weight image work

## Choose DeepSeek R1 0528 NVFP4 for

- Fine-tuning under a permissive license (MIT)

## Common questions

### Which has the bigger context window?

DeepSeek R1 0528 NVFP4: 163,840 tokens (160K) against an unlisted window for FLUX.1 Schnell.

### Can I fine-tune FLUX.1 Schnell or DeepSeek R1 0528 NVFP4?

Both publish open weights (FLUX.1 Schnell: Not listed; DeepSeek R1 0528 NVFP4: MIT), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

---

[HTML page](https://allocate.network/compare/bfl-flux-1-schnell-vs-deepseek-deepseek-r1-0528) · [FLUX.1 Schnell](https://allocate.network/models/bfl-flux-1-schnell.md) · [DeepSeek R1 0528 NVFP4](https://allocate.network/models/deepseek-deepseek-r1-0528.md) · [Machine-readable catalog](https://allocate.network/catalog.json)