GLM vs MiniMax

Head-to-Head Performance Audit

GLM

GLM

Z.AI

Z AI coding model scoring 94.6% of Claude Opus on SWE-Bench

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MiniMax

MiniMax

MiniMax

Specialized foundational models catering to Chinese reasoning tasks

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Intelligence Fingerprint

GLM-5.1 (Reasoning)

GLM-5.1 (Reasoning) by Z AI. Optimized for high intelligence.

MiniMax-M2.7

MiniMax-M2.7 by MiniMax. Optimized for efficiency.

Competitive Edge

GLM Verdict

Key Strengths

  • 94.6% of Claude coding performance
  • 28% improvement in single update
  • Open-source options
  • Competitive pricing

Limitations

  • China-based service
  • Smaller community
  • Less general capability

MiniMax Verdict

Key Strengths

  • Strong reasoning capabilities
  • Cost effective API
  • Native Chinese optimization

Limitations

  • Smaller western ecosystem
  • Less multimodal tooling

Where to Choose Which?

Select GLM for:

  • Coding tasks
  • Chinese developers
  • Budget-conscious teams
  • SWE-Bench style problems

Select MiniMax for:

  • Enterprise workflows
  • Chinese language generation
  • Mathematical reasoning

Frequently Asked Questions

Is GLM better than MiniMax?
Based on our benchmark analysis, MiniMax scores higher on average across key metrics (SWE-Bench, GPQA Diamond, ARC-AGI-2) with a composite average of 61.3% vs 61.0%. However, GLM may still be the better choice depending on your specific use case and budget.
Which is better for coding, GLM or MiniMax?
GLM scores 77.8% on SWE-Bench Verified compared to MiniMax's 62.4%. SWE-Bench measures real-world GitHub issue resolution, making it the most reliable coding benchmark. GLM is the stronger choice for developers.
How does GLM pricing compare to MiniMax?
GLM starts at Free (freemium) while MiniMax starts at Free (freemium). Both require paid subscriptions for full access.
When should I choose GLM over MiniMax?
Choose GLM when you need Coding tasks or Chinese developers. Choose MiniMax when your priority is Enterprise workflows or Chinese language generation. Both tools serve different strengths depending on your workflow.