# Llama 4 Scout vs Pearl Gemma 4 31B Instruct

Pearl Gemma 4 31B Instruct 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

| | Llama 4 Scout | Pearl Gemma 4 31B Instruct |
| --- | --- | --- |
| Lab | Meta | Pearl AI |
| Access | Open weights | Not served on Allocate |
| Context window | 1M tokens | n/a |
| List price, input | $0.18 / M tokens | Not served |
| List price, output | $0.59 / M tokens | Not served |
| Cached input | n/a | n/a |
| License | Llama community | Not listed |
| Fine-tunable | Yes | Yes |

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

## Choose Llama 4 Scout for

- Whole-document reasoning
- High-volume extraction
- Fine-tuning under the Llama 4 license

## Choose Pearl Gemma 4 31B Instruct for

- Long-document reasoning
- Open-weight fine-tuning
- Mid-size general work

## Common questions

### Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against an unlisted window for Pearl Gemma 4 31B Instruct.

### Can I fine-tune Llama 4 Scout or Pearl Gemma 4 31B Instruct?

Both publish open weights (Llama 4 Scout: Llama community; Pearl Gemma 4 31B Instruct: Not listed), 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/meta-llama-4-scout-17b-16e-instruct-vs-pearl-gemma-4-31b-it) · [Llama 4 Scout](https://allocate.network/models/meta-llama-4-scout-17b-16e-instruct.md) · [Pearl Gemma 4 31B Instruct](https://allocate.network/models/pearl-gemma-4-31b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)