GPT-5.4 focuses on maximum intelligence, better reasoning, and high-performance results. It is designed for complex tasks, large context workloads, and advanced AI agents.
GLM-5, on the other hand, focuses on cost efficiency, open-source flexibility, and scalable deployment, making it ideal for startups and high-volume applications.
In this guide, we compare GPT-5.4 vs GLM-5 using real benchmark data, pricing, speed, and features.
Quick Comparison: GPT 5.4 vs GLM 5
| Feature | GPT 5.4 | GLM 5 |
|---|---|---|
| Company | OpenAI | Zhipu AI |
| Release Date | March 2026 | February 2026 |
| Intelligence Index | 57 | 50 |
| Context Window | 1,050,000 tokens | 200,000 tokens |
| Input Price | $2.50 / 1M tokens | $1.00 / 1M tokens |
| Output Price | $15.00 / 1M tokens | $3.20 / 1M tokens |
| Open Source | No | Yes (MIT License) |
| Multimodal | Yes | No |
| Best For | Intelligence & Agents | Cost & Open Deployment |
What is GPT 5.4?
GPT 5.4 is one of the most advanced AI models released in 2026. It combines reasoning, coding, and multimodal capabilities into one model.
It was released on March 5, 2026, and designed for complex tasks and professional workflows.
Key Features of GPT 5.4
- 1M+ token context window
- Multimodal support (text, images, files)
- Advanced reasoning abilities
- Strong coding performance
- Better instruction following
- AI agent workflows support
Best Use Cases for GPT 5.4
GPT 5.4 is ideal for:
- AI agents and automation
- Software development
- Research workflows
- Document analysis
- Complex reasoning tasks
Simple explanation: GPT 5.4 is built for serious work and complex AI applications.
What is GLM 5?
GLM 5 is a powerful open-source AI model built by Zhipu AI. It focuses on performance, affordability, and flexibility.
It was released on February 11, 2026 and designed mainly for developers and scalable applications.
Key Features of GLM 5
- 744B parameter model
- Mixture-of-Experts architecture
- 200,000 token context window
- Open weights (MIT license)
- Much cheaper pricing
- Strong coding performance
Best Use Cases for GLM 5
GLM 5 is ideal for:
- Startups
- SaaS products
- High-traffic apps
- Budget-friendly AI tools
- Self-hosting
Simple explanation: GLM 5 offers strong performance at a much lower cost.
Detailed Comparison:
Intelligence Comparison
When comparing intelligence, GPT 5.4 is ahead.
Intelligence Score
- GPT 5.4: 57
- GLM 5: 50
GPT 5.4 performs better in:
- Reasoning
- Knowledge
- Coding
- Long context tasks
Benchmark Comparison
| Benchmark | GPT 5.4 | GLM 5 |
|---|---|---|
| GPQA | 92.8% | 86% |
| SciCode | 57% | 46% |
| Humanity's Last Exam | 39.8% | 30.5% |
| BrowseComp | 82.7% | 75.9% |
| Terminal-Bench | 75.1% | 56.2% |
| SWE-Bench Verified | — | 77.8% |
Winner: GPT 5.4
GPT 5.4 is smarter overall, but GLM 5 is still very strong.
Pricing Comparison
Pricing is where GLM 5 becomes very attractive.
| Model | Input Price | Output Price |
|---|---|---|
| GPT 5.4 | $2.50 | $15.00 |
| GLM 5 | $1.00 | $3.20 |
GLM 5 is:
- 2.5x cheaper for input
- 4.7x cheaper for output
Example Cost
For 10 million input tokens:
- GPT 5.4 → $70
- GLM 5 → $19.60
GLM 5 saves 72% cost.
Winner: GLM 5
GLM 5 is best for budget and scaling.
Context Window Comparison
Context window determines how much data a model can process.
| Model | Context Window |
|---|---|
| GPT 5.4 | 1,050,000 tokens |
| GLM 5 | 200,000 tokens |
GPT 5.4 supports 5x larger context.
This helps with:
- Long documents
- Research
- Large codebases
- AI agents
Winner: GPT 5.4
Speed & Performance
Speed matters for real applications.
Output Speed
- GPT 5.4 → 316 characters/sec
- GLM 5 → 7 characters/sec
GPT 5.4 is much faster.
Latency
- GPT 5.4 → 42-148 seconds (depending on reasoning mode)
- GLM 5 → ~6.5 seconds
Winner
- Faster output → GPT 5.4
- Faster first response → GLM 5
Coding Performance
Both models are strong at coding.
GPT 5.4 Strengths
- Better debugging
- Architecture design
- Large projects
- Agent coding
GLM 5 Strengths
- SWE-Bench: 77.8%
- Real-world coding tasks
- Cost-efficient coding
Winner
- GPT 5.4 overall
- GLM 5 for budget coding
Multimodal Capabilities
| Feature | GPT 5.4 | GLM 5 |
|---|---|---|
| Text | Yes | Yes |
| Image | Yes | No |
| File | Yes | No |
GPT 5.4 supports multimodal workflows.
Winner: GPT 5.4
Real-World Example
Example: Building a SaaS AI App
If you're building a chatbot:
- GPT 5.4 → Better responses but expensive
- GLM 5 → Good responses but cheaper
Startups usually choose GLM 5.
Enterprises usually choose GPT 5.4.
For teams managing multiple AI models and hosting AI agents in production, Ampere.sh makes it easy to deploy either model with zero DevOps complexity.
Final Verdict
Both GPT 5.4 and GLM 5 are powerful AI models, but they are built for different needs. There isn't one single winner — the right choice depends on what you're trying to build.
Simple Decision Guide
- smartest AI → Choose GPT 5.4
- cheaper AI → Choose GLM 5
- multimodal (images/files) → Choose GPT 5.4
- open-source model → Choose GLM 5
- large context (1M+ tokens) → Choose GPT 5.4
Bottom Line
GPT 5.4 = Best Intelligence & Performance
GLM 5 = Best Price & Flexibility
If your budget allows, many teams use both together:
- Use GPT 5.4 for complex reasoning and critical tasks
- Use GLM 5 for high-volume and cost-sensitive workloads
This hybrid approach gives you maximum performance at lower cost.
Whether you choose GPT 5.4, GLM 5, or both, running AI agent use cases in production requires reliable infrastructure. Ampere.sh handles deployment, scaling, and monitoring so you can focus on building.
Frequently Asked Questions
What is the main difference between GPT 5.4 and GLM 5?
Which model is more intelligent, GPT 5.4 or GLM 5?
Which model has a larger context window?
Does GPT 5.4 support images and files?
Is GLM 5 open source?
Which model is faster?
Which model is better for AI agents?
Which model should startups choose?
Which model is better overall?
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