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GLM-4.7 vs DeepSeek R1

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GLM-4.7 Cost
$1.04
DeepSeek R1 Cost
$0.36
DeepSeek R1 is 65% cheaper
FeatureGLM-4.7DeepSeek R1
ProviderZhipu AIDeepSeek
Input Price (1M)$0.60$0.28
Output Price (1M)$2.20$0.42
Context Window204,80064,000

Verdict

GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. DeepSeek R1 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. DeepSeek R1 is 53% cheaper on input tokens than GLM-4.7. For output tokens, DeepSeek R1 is the more affordable option at $0.42/1M vs $2.20.

On context window, GLM-4.7 supports 204,800 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-4.7

  • ✓ You need a larger context window (204,800 tokens)
  • ✓ You are already integrated with Zhipu AI

When to choose DeepSeek R1

  • ✓ You need the lowest input token cost ($ 0.28/1M)
  • ✓ Your workload is output-heavy — DeepSeek R1 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-4.7 cheaper than DeepSeek R1?

DeepSeek R1 is cheaper on input tokens at $0.28/1M vs $0.60/1M for GLM-4.7 — a 53% saving.

What is the context window of GLM-4.7 vs DeepSeek R1?

GLM-4.7 has a 204,800-token context window. DeepSeek R1 has a 64,000-token context window. GLM-4.7 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-4.7 or DeepSeek R1?

The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek R1 is the cheaper option. For maximum context length, GLM-4.7 supports 204,800 tokens. Use the comparison table above to find the right fit for your workload.