# Pearl Gemma 4 31B Instruct vs Qwen3.7 Max

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

| | Pearl Gemma 4 31B Instruct | Qwen3.7 Max |
| --- | --- | --- |
| Lab | Pearl AI | Qwen |
| Access | Not served on Allocate | API only |
| Context window | n/a | 1M tokens |
| List price, input | Not served | $2.50 / M tokens |
| List price, output | Not served | $7.50 / M tokens |
| Cached input | n/a | $0.50 / M tokens |
| License | Not listed | Proprietary API |
| Fine-tunable | Yes | No |

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

## Choose Pearl Gemma 4 31B Instruct for

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

## Choose Qwen3.7 Max for

- Published cached-input pricing ($0.50 per M tokens)

## Common questions

### Which has the bigger context window?

Qwen3.7 Max: 1,000,000 tokens (1M) against an unlisted window for Pearl Gemma 4 31B Instruct.

### Can I fine-tune Pearl Gemma 4 31B Instruct or Qwen3.7 Max?

Pearl Gemma 4 31B Instruct publishes open weights (Not listed) 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/pearl-gemma-4-31b-it-vs-qwen-qwen3-7-max) · [Pearl Gemma 4 31B Instruct](https://allocate.network/models/pearl-gemma-4-31b-it.md) · [Qwen3.7 Max](https://allocate.network/models/qwen-qwen3-7-max.md) · [Machine-readable catalog](https://allocate.network/catalog.json)