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Llama 4 Maverick vs GLM-5

A detailed comparison of Llama 4 Maverick (Meta) and GLM-5 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricLlama 4 MaverickGLM-5Difference
Input / 1M tokens$0.31$1.00+223%
Output / 1M tokens$0.85$3.20+276%
Context window1M200K
Max output32K128K

Benchmark Comparison

BenchmarkLlama 4 MaverickGLM-5
MMLU-Pro80.5%70.4%
HumanEval90.2%91%
GPQA72%

Capabilities

CapabilityLlama 4 MaverickGLM-5
code
reasoning
text
tool-use
vision

Llama 4 Maverick Strengths

  • Open-source and self-hostable
  • 1M context window
  • Very competitive via API providers

Llama 4 Maverick Weaknesses

  • Requires significant compute to self-host
  • Fewer tool-use capabilities than proprietary models

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: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.

Higher benchmarks: Llama 4 Maverick scores higher on average across available benchmarks (85.3% avg).

Larger context: Llama 4 Maverick supports 1M tokens.

Choose Llama 4 Maverick if cost matters most. Choose GLM-5 if you need the best possible quality for complex tasks.

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