GLM-5.3 vs Grok 4
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GLM-5.3 | Grok 4 |
|---|---|---|
| Provider | Zhipu AI | xAI |
| Input Price (1M) | $1.40 | $3.00 |
| Output Price (1M) | $4.40 | $15.00 |
| Context Window | 1,000,000 | 256,000 |
Verdict
GLM-5.3 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. Grok 4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. GLM-5.3 is 53% cheaper on input tokens than Grok 4. For output tokens, GLM-5.3 is the more affordable option at $4.40/1M vs $15.00.
On context window, GLM-5.3 supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GLM-5.3
- ✓ You need the lowest input token cost ($ 1.40/1M)
- ✓ Your workload is output-heavy — GLM-5.3 generates text cheaper
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Zhipu AI
When to choose Grok 4
- ✓ 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-5.3 cheaper than Grok 4? ▼
GLM-5.3 is cheaper on input tokens at $1.40/1M vs $3.00/1M for Grok 4 — a 53% saving.
What is the context window of GLM-5.3 vs Grok 4? ▼
GLM-5.3 has a 1,000,000-token context window. Grok 4 has a 256,000-token context window. GLM-5.3 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GLM-5.3 or Grok 4? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GLM-5.3 is the cheaper option. For maximum context length, GLM-5.3 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.