Gemini vs GLM
Head-to-Head Performance Audit
Gemini
Google DeepMindGoogle's multimodal AI leading on reasoning and ARC-AGI-2 benchmarks
Full Audit →Intelligence Fingerprint
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview by Google. Optimized for high intelligence.
GLM-5.1 (Reasoning)
GLM-5.1 (Reasoning) by Z AI. Optimized for high intelligence.
Competitive Edge
Gemini Verdict
Key Strengths
- #1 on ARC-AGI-2 (77.1%)
- Best GPQA Diamond score (94.3%)
- Native multimodal from ground up
- Real-time Google Search integration
Limitations
- Workspace integration required for full features
- Some features US-only
- Less coding focus than Claude
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
Where to Choose Which?
Select Gemini for:
- Research tasks
- Multimodal workflows
- Google Workspace users
- Benchmark-critical applications
Select GLM for:
- Coding tasks
- Chinese developers
- Budget-conscious teams
- SWE-Bench style problems
Frequently Asked Questions
Is Gemini better than GLM?
Based on our benchmark analysis, Gemini scores higher on average across key metrics (SWE-Bench, GPQA Diamond, ARC-AGI-2) with a composite average of 84.0% vs 61.0%. However, GLM may still be the better choice depending on your specific use case and budget.
Which is better for coding, Gemini or GLM?
Gemini scores 80.6% on SWE-Bench Verified compared to GLM's 77.8%. SWE-Bench measures real-world GitHub issue resolution, making it the most reliable coding benchmark. Gemini is the stronger choice for developers.
How does Gemini pricing compare to GLM?
Gemini starts at Free (freemium) while GLM starts at Free (freemium). Both require paid subscriptions for full access.
When should I choose Gemini over GLM?
Choose Gemini when you need Research tasks or Multimodal workflows. Choose GLM when your priority is Coding tasks or Chinese developers. Both tools serve different strengths depending on your workflow.