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DeepSeek R1 vs GLM-4.7

A detailed comparison of DeepSeek R1 (DeepSeek) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricDeepSeek R1GLM-4.7Difference
Input / 1M tokens$0.55$0.60+9%
Output / 1M tokens$2.19$2.20+0%
Context window128K200K
Max output64K128K

Benchmark Comparison

BenchmarkDeepSeek R1GLM-4.7
MMLU-Pro84%84.3%
HumanEval92%
GPQA71.5%85.7%

Capabilities

CapabilityDeepSeek R1GLM-4.7
code
reasoning
text
vision

DeepSeek R1 Strengths

  • Cheapest reasoning model available
  • Strong math and science performance
  • Open-source with off-peak discounts

DeepSeek R1 Weaknesses

  • Slower than non-reasoning models
  • No vision or tool-use
  • China-based — availability concerns

GLM-4.7 Strengths

  • Excellent value — strong benchmarks at $0.60/$2.20
  • Open-weight (MIT license)
  • Top scores on AIME 25 and BrowseComp

GLM-4.7 Weaknesses

  • No tool-use support yet
  • 358B parameters — still heavy for self-hosting
  • Smaller ecosystem than OpenAI/Anthropic

Quick Verdict

Best value: DeepSeek R1 is the more affordable option at $0.55/$2.19 per 1M tokens.

Higher benchmarks: GLM-4.7 scores higher on average across available benchmarks (85.0% avg).

Larger context: GLM-4.7 supports 200K tokens.

Choose DeepSeek R1 if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.

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