# Llama 4 Scout vs GLM 4.7 FP8

On provider list prices, Llama 4 Scout costs $0.18 per million input tokens against $0.45 for GLM 4.7 FP8: 2.5x apart. Output is $0.59 against $2 (3.4x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Llama 4 Scout | GLM 4.7 FP8 |
| --- | --- | --- |
| Lab | Meta | Zai Org |
| Access | Open weights | Open weights |
| Context window | 1M tokens | 198K tokens |
| List price, input | $0.18 / M tokens | $0.45 / M tokens |
| List price, output | $0.59 / M tokens | $2 / M tokens |
| Cached input | n/a | n/a |
| License | Llama community | MIT |
| Fine-tunable | Yes | 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 $1,240 on GLM 4.7 FP8 at list: a gap of $817.50, or 2.9x.

Llama 4 Scout reads 1M tokens per request against 198K for GLM 4.7 FP8, 5.2x the window. That decides which one can take whole documents without splitting them.

## Choose Llama 4 Scout for

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

## Choose GLM 4.7 FP8 for

- Fine-tuning under a permissive license (MIT)

## Common questions

### Which is cheaper, Llama 4 Scout or GLM 4.7 FP8?

Llama 4 Scout, on this workload shape. At list prices it is $0.18/$0.59 per million tokens in and out against $0.45/$2 for GLM 4.7 FP8. Billed on Allocate: $0.19/$0.63 against $0.48/$2.14, list plus 7%.

### Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against 202,752 (198K) for GLM 4.7 FP8.

### Can I fine-tune Llama 4 Scout or GLM 4.7 FP8?

Both publish open weights (Llama 4 Scout: Llama community; GLM 4.7 FP8: MIT), 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-z-ai-glm-4-7) · [Llama 4 Scout](https://allocate.network/models/meta-llama-4-scout-17b-16e-instruct.md) · [GLM 4.7 FP8](https://allocate.network/models/z-ai-glm-4-7.md) · [Machine-readable catalog](https://allocate.network/catalog.json)