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GLM-5 vs Gemini 3.1 Pro

A detailed comparison of GLM-5 (Zhipu AI) and Gemini 3.1 Pro (Google) across pricing, performance, and features.

Pricing Comparison

MetricGLM-5Gemini 3.1 ProDifference
Input / 1M tokens$1.00$2.00+100%
Output / 1M tokens$3.20$12.00+275%
Context window200K1M
Max output128K64K

Benchmark Comparison

BenchmarkGLM-5Gemini 3.1 Pro
MMLU-Pro70.4%91%
HumanEval91%95%
GPQA72%94.3%

Capabilities

CapabilityGLM-5Gemini 3.1 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 3.1 Pro Strengths

  • #1 on 12 of 18 tracked benchmarks
  • 94.3% GPQA Diamond — highest of any model
  • Same price as Gemini 3 Pro (free upgrade)
  • 1M context with configurable thinking levels

Gemini 3.1 Pro Weaknesses

  • Still in preview
  • 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 3.1 Pro scores higher on average across available benchmarks (93.4% avg).

Larger context: Gemini 3.1 Pro supports 1M tokens.

Choose GLM-5 if cost matters most. Choose Gemini 3.1 Pro if you need the best possible quality for complex tasks.

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