Model comparison
GLM-5.2 vs Llama 4 Scout
Compare GLM-5.2 vs Llama 4 Scout API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GLM-5.2
zai · glm-5.2
- Input
- $1.4
- Output
- $4.4
- Context
- 1M
Llama 4 Scout
deepinfra · deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct
- Input
- $0.08
- Output
- $0.3
- Context
- 327.7K
Quick take
Llama 4 Scout has the lower input price at $0.08 per 1M input tokens. Llama 4 Scout is cheaper for the example blended workload below. GLM-5.2 has the larger context window at 1M tokens.
Choose GLM-5.2 if...
- GLM-5.2 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- GLM-5.2 is stronger when the same large prompt or document is reused because it supports prompt caching.
Choose Llama 4 Scout if...
- Llama 4 Scout is the better default for cost-sensitive traffic and repeated high-volume calls.
- Llama 4 Scout gives more room for long generated answers, reports, or code output.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | GLM-5.2 | Llama 4 Scout | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $2.28 | $0.14 | Llama 4 Scout |
| 10M input + 2M output | $22.80 | $1.40 | Llama 4 Scout |
| 100M input + 20M output | $228.00 | $14.00 | Llama 4 Scout |
Context, output, and capability fit
GLM-5.2 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GLM-5.2 max output
- 128K
- Llama 4 Scout max output
- 327.7K
- GLM-5.2 features
- prompt caching, function calling
- Llama 4 Scout features
- function calling
Risk notes for GLM-5.2
- No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.
Risk notes for Llama 4 Scout
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierreasoningcodingagentslong-contextopen-weightcache-friendlyraglocal-openbudgethigh-volumemultimodal