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DeepSeek R1 vs GLM-5

A detailed comparison of DeepSeek R1 (DeepSeek) and GLM-5 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricDeepSeek R1GLM-5Difference
Input / 1M tokens$0.55$1.00+82%
Output / 1M tokens$2.19$3.20+46%
Context window128K200K
Max output64K128K

Benchmark Comparison

BenchmarkDeepSeek R1GLM-5
MMLU-Pro84%70.4%
HumanEval92%91%
GPQA71.5%72%

Capabilities

CapabilityDeepSeek R1GLM-5
code
reasoning
text
tool-use
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-5 Strengths

  • Open-weight (MIT license) — self-hostable
  • 77.8% SWE-Bench Verified — top-tier coding
  • 128K max output — huge generation window

GLM-5 Weaknesses

  • MMLU-Pro lags behind Western flagships
  • 744B parameters — heavy to self-host
  • 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: DeepSeek R1 scores higher on average across available benchmarks (82.5% avg).

Larger context: GLM-5 supports 200K tokens.

Choose DeepSeek R1 if cost matters most. Choose GLM-5 if you need the best possible quality for complex tasks.

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