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GLM-4.7 vs DeepSeek R1

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

Pricing Comparison

MetricGLM-4.7DeepSeek R1Difference
Input / 1M tokens$0.60$0.55-8%
Output / 1M tokens$2.20$2.19-0%
Context window200K128K
Max output128K64K

Benchmark Comparison

BenchmarkGLM-4.7DeepSeek R1
MMLU-Pro84.3%84%
HumanEval92%
GPQA85.7%71.5%

Capabilities

CapabilityGLM-4.7DeepSeek R1
code
reasoning
text
vision

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

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

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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