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GLM-5 vs Grok Build 0.1

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GLM-5 Cost
$1.64
Grok Build 0.1 Cost
$1.40
Grok Build 0.1 is 15% cheaper
FeatureGLM-5Grok Build 0.1
ProviderZhipu AIxAI
Input Price (1M)$1.00$1.00
Output Price (1M)$3.20$2.00
Context Window1,000,000256,000

Verdict

GLM-5 costs $1.00 per 1M input tokens and $3.20 per 1M output tokens. Grok Build 0.1 costs $1.00 per 1M input tokens and $2.00 per 1M output tokens. GLM-5 and Grok Build 0.1 have identical input token pricing. For output tokens, Grok Build 0.1 is the more affordable option at $2.00/1M 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 a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Zhipu AI

When to choose Grok Build 0.1

  • ✓ Your workload is output-heavy — Grok Build 0.1 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 Build 0.1?

GLM-5 and Grok Build 0.1 have identical input token pricing at $1.00/1M tokens.

What is the context window of GLM-5 vs Grok Build 0.1?

GLM-5 has a 1,000,000-token context window. Grok Build 0.1 has a 256,000-token context window. GLM-5 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-5 or Grok Build 0.1?

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.