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GLM-5 vs Grok 4.20 Beta

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GLM-5 Cost
$1.64
Grok 4.20 Beta Cost
$1.75
GLM-5 is 6% cheaper
FeatureGLM-5Grok 4.20 Beta
ProviderZhipu AIxAI
Input Price (1M)$1.00$1.25
Output Price (1M)$3.20$2.50
Context Window1,000,0001,000,000

Verdict

GLM-5 costs $1.00 per 1M input tokens and $3.20 per 1M output tokens. Grok 4.20 Beta costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. GLM-5 is 20% cheaper on input tokens than Grok 4.20 Beta. For output tokens, Grok 4.20 Beta is the more affordable option at $2.50/1M vs $3.20.

On context window, GLM-5 supports 1,000,000 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

  • ✓ You need the lowest input token cost ($ 1.00/1M)
  • ✓ You are already integrated with Zhipu AI

When to choose Grok 4.20 Beta

  • ✓ Your workload is output-heavy — Grok 4.20 Beta generates text cheaper
  • ✓ You are already integrated with xAI

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 cheaper than Grok 4.20 Beta?

GLM-5 is cheaper on input tokens at $1.00/1M vs $1.25/1M for Grok 4.20 Beta — a 20% saving.

What is the context window of GLM-5 vs Grok 4.20 Beta?

GLM-5 has a 1,000,000-token context window. Grok 4.20 Beta has a 1,000,000-token context window. GLM-5 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-5 or Grok 4.20 Beta?

The best choice depends on your use case. For cost efficiency on input tokens, GLM-5 is the cheaper option. For maximum context length, GLM-5 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.