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GLM-5.3 vs Llama 4 Scout

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GLM-5.3 Cost
$2.28
Llama 4 Scout Cost
$0.16
Llama 4 Scout is 93% cheaper
FeatureGLM-5.3Llama 4 Scout
ProviderZhipu AIMeta
Input Price (1M)$1.40$0.10
Output Price (1M)$4.40$0.30
Context Window1,000,00010,000,000

Verdict

GLM-5.3 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Llama 4 Scout is 93% cheaper on input tokens than GLM-5.3. For output tokens, Llama 4 Scout is the more affordable option at $0.30/1M vs $4.40.

On context window, Llama 4 Scout supports 10,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose GLM-5.3

  • ✓ You are already integrated with Zhipu AI

When to choose Llama 4 Scout

  • ✓ You need the lowest input token cost ($ 0.10/1M)
  • ✓ Your workload is output-heavy — Llama 4 Scout generates text cheaper
  • ✓ You need a larger context window (10,000,000 tokens)
  • ✓ You are already integrated with Meta

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is GLM-5.3 cheaper than Llama 4 Scout?

Llama 4 Scout is cheaper on input tokens at $0.10/1M vs $1.40/1M for GLM-5.3 — a 93% saving.

What is the context window of GLM-5.3 vs Llama 4 Scout?

GLM-5.3 has a 1,000,000-token context window. Llama 4 Scout has a 10,000,000-token context window. Llama 4 Scout supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-5.3 or Llama 4 Scout?

The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Scout is the cheaper option. For maximum context length, Llama 4 Scout supports 10,000,000 tokens. Use the comparison table above to find the right fit for your workload.