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Gemini 2.5 Flash vs GLM-5

A detailed comparison of Gemini 2.5 Flash (Google) and GLM-5 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricGemini 2.5 FlashGLM-5Difference
Input / 1M tokens$0.15$1.00+567%
Output / 1M tokens$0.60$3.20+433%
Context window1M200K
Max output65.536K128K

Benchmark Comparison

BenchmarkGemini 2.5 FlashGLM-5
MMLU-Pro76%70.4%
HumanEval89.5%91%
GPQA72%

Capabilities

CapabilityGemini 2.5 FlashGLM-5
code
reasoning
text
tool-use
vision

Gemini 2.5 Flash Strengths

  • One of the cheapest models available
  • 1M context at budget pricing
  • Free tier available

Gemini 2.5 Flash Weaknesses

  • Weaker than Flash 3 on most benchmarks
  • Output quality inconsistent on edge cases

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: Gemini 2.5 Flash is the more affordable option at $0.15/$0.6 per 1M tokens.

Higher benchmarks: Gemini 2.5 Flash scores higher on average across available benchmarks (82.8% avg).

Larger context: Gemini 2.5 Flash supports 1M tokens.

Choose Gemini 2.5 Flash if cost matters most. Choose GLM-5 if you need the best possible quality for complex tasks.

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