GLM vs DeepSeek
Head-to-Head Performance Audit
Intelligence Fingerprint
GLM-5.1 (Reasoning)
GLM-5.1 (Reasoning) by Z AI. Optimized for high intelligence.
DeepSeek V4 Pro (Reasoning, Max Effort)
DeepSeek V4 Pro (Reasoning, Max Effort) by DeepSeek. Optimized for high intelligence.
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
DeepSeek Verdict
Key Strengths
- 95% cheaper than GPT-4
- Open weights available
- Strong coding performance
- MoE architecture efficiency
Limitations
- China-based raises data concerns
- Smaller ecosystem
- Newer with less track record
Where to Choose Which?
Select GLM for:
- Coding tasks
- Chinese developers
- Budget-conscious teams
- SWE-Bench style problems
Select DeepSeek for:
- Cost-conscious teams
- Self-hosted deployments
- API-heavy applications
- Chinese language tasks
Frequently Asked Questions
Is GLM better than DeepSeek?
Based on our benchmark analysis, DeepSeek scores higher on average across key metrics (SWE-Bench, GPQA Diamond, ARC-AGI-2) with a composite average of 74.1% 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 DeepSeek?
GLM scores 77.8% on SWE-Bench Verified compared to DeepSeek's 75.2%. 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 DeepSeek?
GLM starts at Free (freemium) while DeepSeek starts at Free (freemium). Both require paid subscriptions for full access.
When should I choose GLM over DeepSeek?
Choose GLM when you need Coding tasks or Chinese developers. Choose DeepSeek when your priority is Cost-conscious teams or Self-hosted deployments. Both tools serve different strengths depending on your workflow.