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Gemini 3 Pro vs GLM-4.7

A detailed comparison of Gemini 3 Pro (Google) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricGemini 3 ProGLM-4.7Difference
Input / 1M tokens$2.00$0.60-70%
Output / 1M tokens$12.00$2.20-82%
Context window1M200K
Max output65.536K128K

Benchmark Comparison

BenchmarkGemini 3 ProGLM-4.7
MMLU-Pro89.8%84.3%
HumanEval94%
GPQA77%85.7%

Capabilities

CapabilityGemini 3 ProGLM-4.7
audio
code
reasoning
text
tool-use
vision

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  • Being superseded by 3.1 Pro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)

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: GLM-4.7 is the more affordable option at $0.6/$2.2 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-4.7 if cost matters most. Choose Gemini 3 Pro if you need the best possible quality for complex tasks.

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