# Gemma 4 31B-it FP8

Gemma 4 31B-it FP8 is a language model from Google with a 256K-token context window. Provider list price is $0.39 per million input tokens and $0.97 per million output; on Allocate you pay $0.42 and $1.04 with the 7% transaction fee. The weights are open under Apache 2.0, so you can fine-tune it and own the result.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $0.39 | $0.42 |
| Output, per M tokens | $0.97 | $1.04 |

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

## Facts

| Field | Value |
| --- | --- |
| Lab | Google |
| Modality | Language |
| Context window | 256K tokens |
| License | Apache 2.0 |
| Open weights | Yes |
| Fine-tunable | Yes, on your data |
| Catalog id | google/gemma-4-31b-it |

## What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.39 + 350 × $0.97 = $807.50 a month. Billed on Allocate it is $864.03 with the 7% transaction fee.

## Common questions

### How much does Gemma 4 31B-it FP8 cost per million tokens?

Provider list price is $0.39 per million input tokens and $0.97 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.42 in and $1.04 out.

### What context window does Gemma 4 31B-it FP8 have?

262,144 tokens (256K). At roughly 0.75 words per token, that is about 197k words of English text per request.

### Can I fine-tune Gemma 4 31B-it FP8?

Yes. Gemma 4 31B-it FP8 is an open-weights model under the Apache 2.0 license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

### How do I call Gemma 4 31B-it FP8 on Allocate?

Send google/gemma-4-31b-it in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

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[HTML page](https://allocate.network/models/google-gemma-4-31b-it) · [Machine-readable catalog](https://allocate.network/catalog.json)