AllocateLlama 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.
Llama 4 ScoutG GLM 4.7 FP8Specifications 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
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.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.