GLM 4 32B is $2.4 cheaper per 1M input tokens (96% lower; 25x difference).
API cost decision in 10 seconds
🔥GPT-5.4 vs GLM 4 32B
Pick GLM 4 32B for lower cost; pick GPT-5.4 only if the larger context window matters more.
Budget verdict
Pick GLM 4 32B for lower cost; pick GPT-5.4 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $10 for GPT-5.4, saving $9.85 (98.5% lower).
GPT-5.4 has more context, but GLM 4 32B saves $9.85 on the standard workload. At 10x that traffic, the same price gap is about $98.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GLM 4 32B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.4 | GLM 4 32B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GLM 4 32B | $20 | $0.55 |
| Balanced workload | 1M input + 1M output | GLM 4 32B | $17.5 | $0.2 |
| Output-heavy chatbot | 1M input + 5M output | GLM 4 32B | $77.5 | $0.6 |
GLM 4 32B is $14.9 cheaper per 1M output tokens (99.3% lower; 150x difference).
GPT-5.4 has 922K more context (8.2x larger).
GLM 4 32B is $9.85 cheaper on the standard workload (98.5% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GLM 4 32B has the lower input price; GLM 4 32B has the lower output price; GPT-5.4 offers the larger context window. For the 1M input plus 500K output sample, GLM 4 32B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $10 for GPT-5.4 and $0.15 for GLM 4 32B.
Choose GPT-5.4 when you care most about larger context window.
Choose GLM 4 32B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $10 for GPT-5.4, saving $9.85 (98.5% lower).
- GLM 4 32B is $9.85 cheaper on the standard workload (98.5% lower).
- GLM 4 32B is $2.4 cheaper per 1M input tokens (96% lower; 25x difference).
- GLM 4 32B is $14.9 cheaper per 1M output tokens (99.3% lower; 150x difference).
- GPT-5.4 has 922K more context (8.2x larger).
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GLM 4 32B | On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $10 for GPT-5.4, saving $9.85 (98.5% lower). |
| High-volume input processing | GLM 4 32B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GLM 4 32B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.4 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.4 when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.4 when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
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Cheaper alternatives
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