# Llama 4 Scout vs GLM 5.2

On provider list prices, Llama 4 Scout costs $0.18 per million input tokens against $1.40 for GLM 5.2: 7.8x apart. Output is $0.59 against $4.40 (7.5x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Llama 4 Scout | GLM 5.2 |
| --- | --- | --- |
| Lab | Meta | Zai Org |
| Access | Open weights | Open weights |
| Context window | 1M tokens | 256K tokens |
| List price, input | $0.18 / M tokens | $1.40 / M tokens |
| List price, output | $0.59 / M tokens | $4.40 / M tokens |
| Cached input | n/a | $0.26 / M tokens |
| License | Llama community | Not listed |
| 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 $3,220 on GLM 5.2 at list: a gap of $2,798, or 7.6x.

Llama 4 Scout reads 1M tokens per request against 256K for GLM 5.2, 4.0x 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 5.2 for

- Agents on open weights
- Code and structured outputs
- Fine-tuning toward an owned model

## Common questions

### Which is cheaper, Llama 4 Scout or GLM 5.2?

Llama 4 Scout, on this workload shape. At list prices it is $0.18/$0.59 per million tokens in and out against $1.40/$4.40 for GLM 5.2. Billed on Allocate: $0.19/$0.63 against $1.50/$4.71, list plus 7%.

### Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against 262,144 (256K) for GLM 5.2.

### Can I fine-tune Llama 4 Scout or GLM 5.2?

Both publish open weights (Llama 4 Scout: Llama community; GLM 5.2: Not listed), 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-5-2) · [Llama 4 Scout](https://allocate.network/models/meta-llama-4-scout-17b-16e-instruct.md) · [GLM 5.2](https://allocate.network/models/z-ai-glm-5-2.md) · [Machine-readable catalog](https://allocate.network/catalog.json)