GLM vs Gemma
Head-to-Head Performance Audit
Intelligence Fingerprint
GLM-5.1 (Reasoning)
GLM-5.1 (Reasoning) by Z AI. Optimized for high intelligence.
Gemma 4 31B (Reasoning)
Gemma 4 31B (Reasoning) by Google. 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
Gemma Verdict
Key Strengths
- Apache 2.0 license (commercial use)
- #3 Open Model on Arena AI
- Phone-to-Workstation scalability
- Native Gemini 3 research inside
Limitations
- Smaller context than proprietary Gemini
- Resource heavy for 31B on mobile
Where to Choose Which?
Select GLM for:
- Coding tasks
- Chinese developers
- Budget-conscious teams
- SWE-Bench style problems
Select Gemma for:
- Open-source developers
- Local RAG implementations
- Edge device AI
- Academic research
Frequently Asked Questions
Is GLM better than Gemma?
Based on our benchmark analysis, Gemma scores higher on average across key metrics (SWE-Bench, GPQA Diamond, ARC-AGI-2) with a composite average of 65.3% 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 Gemma?
GLM scores 77.8% on SWE-Bench Verified compared to Gemma's 72.1%. 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 Gemma?
GLM starts at Free (freemium) while Gemma starts at Free (open-source). Gemma offers a completely free tier.
When should I choose GLM over Gemma?
Choose GLM when you need Coding tasks or Chinese developers. Choose Gemma when your priority is Open-source developers or Local RAG implementations. Both tools serve different strengths depending on your workflow.