GLM-5.2 vs DeepSeek V3.2
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GLM-5.2 | DeepSeek V3.2 |
|---|---|---|
| Provider | Zhipu AI | DeepSeek |
| Input Price (1M) | $1.40 | $0.28 |
| Output Price (1M) | $4.40 | $0.42 |
| Context Window | 1,000,000 | 128,000 |
Verdict
GLM-5.2 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. DeepSeek V3.2 is 80% cheaper on input tokens than GLM-5.2. For output tokens, DeepSeek V3.2 is the more affordable option at $0.42/1M vs $4.40.
On context window, GLM-5.2 supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GLM-5.2
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Zhipu AI
When to choose DeepSeek V3.2
- ✓ You need the lowest input token cost ($ 0.28/1M)
- ✓ Your workload is output-heavy — DeepSeek V3.2 generates text cheaper
- ✓ You are already integrated with DeepSeek
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-5.2 cheaper than DeepSeek V3.2? ▼
DeepSeek V3.2 is cheaper on input tokens at $0.28/1M vs $1.40/1M for GLM-5.2 — a 80% saving.
What is the context window of GLM-5.2 vs DeepSeek V3.2? ▼
GLM-5.2 has a 1,000,000-token context window. DeepSeek V3.2 has a 128,000-token context window. GLM-5.2 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GLM-5.2 or DeepSeek V3.2? ▼
The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek V3.2 is the cheaper option. For maximum context length, GLM-5.2 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.