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GLM-5 vs Gemini 3 Pro

A detailed comparison of GLM-5 (Zhipu AI) and Gemini 3 Pro (Google) across pricing, performance, and features.

Pricing Comparison

MetricGLM-5Gemini 3 ProDifference
Input / 1M tokens$1.00$2.00+100%
Output / 1M tokens$3.20$12.00+275%
Context window200K1M
Max output128K65.536K

Benchmark Comparison

BenchmarkGLM-5Gemini 3 Pro
MMLU-Pro70.4%89.8%
HumanEval91%94%
GPQA72%77%

Capabilities

CapabilityGLM-5Gemini 3 Pro
audio
code
reasoning
text
tool-use
vision

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

Gemini 3 Pro Strengths

  • Stable and well-tested
  • 1M token context window
  • Strong multimodal with audio

Gemini 3 Pro Weaknesses

  • Being superseded by 3.1 Pro
  • Context-tiered pricing ($4/$18 above 200K)

Quick Verdict

Best value: GLM-5 is the more affordable option at $1/$3.2 per 1M tokens.

Higher benchmarks: Gemini 3 Pro scores higher on average across available benchmarks (86.9% avg).

Larger context: Gemini 3 Pro supports 1M tokens.

Choose GLM-5 if cost matters most. Choose Gemini 3 Pro if you need the best possible quality for complex tasks.

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