# Gemini 3.1 Pro vs Llama 4 Scout

On provider list prices, Llama 4 Scout costs $0.18 per million input tokens against $2 for Gemini 3.1 Pro: 11.1x apart. Output is $0.59 against $12 (20.3x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Gemini 3.1 Pro | Llama 4 Scout |
| --- | --- | --- |
| Lab | Google | Meta |
| Access | API only | Open weights |
| Context window | 1M tokens | 1M tokens |
| List price, input | $2 / M tokens | $0.18 / M tokens |
| List price, output | $12 / M tokens | $0.59 / M tokens |
| Cached input | n/a | n/a |
| License | Proprietary API | Llama community |
| Fine-tunable | No | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $422.50 a month on Llama 4 Scout and $6,600 on Gemini 3.1 Pro at list: a gap of $6,178, or 15.6x.

Llama 4 Scout reads 1M tokens per request against 1M for Gemini 3.1 Pro, 1.0x the window. That decides which one can take whole documents without splitting them.

## Choose Gemini 3.1 Pro for

- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash

## Choose Llama 4 Scout for

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

## Common questions

### Which is cheaper, Gemini 3.1 Pro or Llama 4 Scout?

Llama 4 Scout, on this workload shape. At list prices it is $0.18/$0.59 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $0.19/$0.63 against $2.14/$12.84, list plus 7%.

### Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against 1,000,000 (1M) for Gemini 3.1 Pro.

### Can I fine-tune Gemini 3.1 Pro or Llama 4 Scout?

Llama 4 Scout publishes open weights (Llama community) and can be fine-tuned on your own data. Gemini 3.1 Pro is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/google-gemini-3-1-pro-vs-meta-llama-4-scout-17b-16e-instruct) · [Gemini 3.1 Pro](https://allocate.network/models/google-gemini-3-1-pro.md) · [Llama 4 Scout](https://allocate.network/models/meta-llama-4-scout-17b-16e-instruct.md) · [Machine-readable catalog](https://allocate.network/catalog.json)