# MiniMax M3 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

| | MiniMax M3 | Pearl Gemma 4 31B Instruct |
| --- | --- | --- |
| Lab | MiniMaxAI | Pearl AI |
| Access | API only | Not served on Allocate |
| Context window | 512K tokens | n/a |
| List price, input | $0.30 / M tokens | Not served |
| List price, output | $1.20 / M tokens | Not served |
| Cached input | $0.06 / M tokens | n/a |
| License | Proprietary API | Not listed |
| Fine-tunable | No | Yes |

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

## Choose MiniMax M3 for

- Published cached-input pricing ($0.06 per M tokens)

## 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?

MiniMax M3: 524,288 tokens (512K) against an unlisted window for Pearl Gemma 4 31B Instruct.

### Can I fine-tune MiniMax M3 or Pearl Gemma 4 31B Instruct?

Pearl Gemma 4 31B Instruct publishes open weights (Not listed) and can be fine-tuned on your own data. MiniMax M3 is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/minimaxai-minimax-m3-vs-pearl-gemma-4-31b-it) · [MiniMax M3](https://allocate.network/models/minimaxai-minimax-m3.md) · [Pearl Gemma 4 31B Instruct](https://allocate.network/models/pearl-gemma-4-31b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)