- 8
- March
In the first week of March 2026, the AI market was shaken by the simultaneous release of 3 new models — GPT-5.4 from OpenAI (Mar 5), Gemini 3.1 Flash-Lite from Google (Mar 3), and DeepSeek V4 from China (early Mar). The key question for Thai businesses is: which model suits your work, and is it worth investing in? This article offers a direct comparison with specific recommendations for Thai organizations.
Quick Summary:
- GPT-5.4 — Most accurate, suited for professional work, high cost
- Gemini 3.1 Flash-Lite — Cheapest, fastest, suited for high-volume tasks
- DeepSeek V4 — Open-source, very affordable, suited for organizations needing data control
- All 3 models support 1 million tokens context equally
Overview — What Are the 3 AI Players Launching?
GPT-5.4 (OpenAI, 5 March 2026)
OpenAI launched GPT-5.4 as the most powerful Frontier model for professional work, available in 3 versions:
- GPT-5.4 Standard — for general tasks
- GPT-5.4 Thinking — with Reasoning capability (step-by-step thinking), ideal for analysis
- GPT-5.4 Pro — highest performance, for mission-critical work
Key highlights include a 1 million token Context Window (OpenAI's largest), 33% fewer errors compared to GPT-5.2, and it's the first model with Native Computer-use — directly controlling computer screens. It also incorporates coding capabilities from GPT-5.3-Codex, an Agentic AI that writes code at a professional level.
Gemini 3.1 Flash-Lite (Google, 3 March 2026)
Google chose a different battlefield — the cheapest and fastest. Gemini 3.1 Flash-Lite is priced at just $0.25 per 1 million Input Tokens (8x cheaper than Gemini Pro) with 64K tokens output.
- 2.5x faster (Time to First Answer) and 45% faster output compared to Gemini 2.5 Flash
- Adjustable Thinking Levels — 4 levels available (minimal/low/medium/high)
- Supports Audio Input for Speech Recognition tasks
- Suitable for: translation, content moderation, UI creation, simulations
DeepSeek V4 (DeepSeek, Early March 2026)
DeepSeek from China created another buzz with an open-source model of 1 trillion parameters, yet uses only 32B active parameters per token (Mixture of Experts architecture).
- Open-source / Open-weight License — downloadable for self-hosting
- Natively Multimodal — supports Text, Image, Video, Audio in a single model
- Priced at $0.10-$0.30 per 1 million Input Tokens (50x cheaper than GPT-5.4)
- Built on Huawei/Cambricon chips — no dependence on US chips
- New technology: Manifold-Constrained Hyper-Connections, Engram Memory, Lightning Indexer
Comparison Table — GPT-5.4 vs Gemini 3.1 vs DeepSeek V4
| Feature | GPT-5.4 | Gemini 3.1 Flash-Lite | DeepSeek V4 |
|---|---|---|---|
| Developer | OpenAI | DeepSeek (China) | |
| Release Date | 5 Mar 2026 | 3 Mar 2026 | Early Mar 2026 |
| Context Window | 1M tokens | 1M tokens (64K output) | 1M tokens |
| Parameters | Undisclosed | Undisclosed | 1T total / 32B active (MoE) |
| Multimodal | Text, Image, Computer-use | Text, Image, Audio | Text, Image, Video, Audio |
| Open-source | No | No | Yes (Open-weight) |
| Key Strengths | Most accurate, Computer-use, Coding | Fastest, Cheapest, Adjustable Thinking | Open-source, Very affordable, No US chip dependency |
| Versions | Standard / Thinking / Pro | Flash-Lite (single version) | V4 (single version) |
Price Comparison — Cost per 1 Million Tokens
| Model | Input ($/1M tokens) | Output ($/1M tokens) | |
|---|---|---|---|
| Task Type | |||
| GPT-5.4 Standard | ~$5.00-$15.00 | ~$15.00-$60.00 | - (Baseline) |
| Gemini 3.1 Flash-Lite | $0.25 | $1.50 | 20-60x |
| DeepSeek V4 | $0.10-$0.30 | ~$0.50-$1.00 | 15-50x |
How Much Cheaper Than GPT-5.4?
The price difference is enormous — if an organization processes 10 million tokens per day, costs range from hundreds to tens of thousands of baht per day. Choosing the wrong model may cause the IT budget to balloon unnecessarily, the same issue many organizations face with AI investments that fail to deliver ROI.
| Model | Performance — Who Excels at What? | Best Choice |
|---|---|---|
| Reason | GPT-5.4 Thinking | Analysis / Research |
| GDPval benchmark matches or exceeds experts in 83% of tasks | GPT-5.4 (Codex) | Coding / DevOps |
| Incorporates GPT-5.3-Codex, industry-leading for coding | Gemini 3.1 Flash-Lite | Translation / Document Summarization |
| Content Moderation | Gemini 3.1 Flash-Lite | Fast, cheap, suited for high volume, adjustable thinking levels |
| Low cost, fast processing, suited for filtering large volumes of content | DeepSeek V4 | Video/Audio Analysis |
| Self-hosted / On-premise | DeepSeek V4 | Natively Multimodal supporting Video + Audio natively |
| Open-source, downloadable for self-hosting, 100% data control | GPT-5.4 | Screen Automation / RPA |
Native Computer-use — first model with this capability
- Risks to Be Aware of:
- GPT-5.4: High cost, may not be worth it for high-volume tasks | Data sent to OpenAI servers (US) | High vendor lock-in
- Gemini 3.1 Flash-Lite: Lower quality than Gemini Pro | Not suitable for tasks requiring maximum accuracy | Data on Google Cloud
DeepSeek V4: Requires a DevOps/ML team for self-hosting | Data Governance concerns if using API from China | Thai language output may be inferior to GPT/Gemini
AI and Thai Businesses — How to Choose the Right Fit?
For Thai organizations, choosing an AI model does not depend on "which one is the best" but rather on budget, task type, and data policy of each organization — the same question executives must answer as AI begins to replace human work.
- Recommendations for Thai Businesses:
- Large organizations / Government agencies with high IT budgets needing maximum accuracy → GPT-5.4 Thinking/Pro
- SMEs / Startups with limited budgets but needing to scale → Gemini 3.1 Flash-Lite (1/8 the price of Gemini Pro)
- Organizations concerned about Data Sovereignty or with policies prohibiting data from leaving the country → DeepSeek V4 (self-hosted in Thailand)
Use multiple models together — GPT-5.4 for important analysis + Gemini Flash-Lite for routine tasks = balance of price and quality
How Can AI Complement ERP Systems?
- These AI models can complement ERP systems in many ways. While Saeree ERP does not yet have built-in AI features, organizations can use these AI models to assist with ERP-related tasks, such as:
- Analyze data from ERP — pull reports from Saeree ERP and use AI to analyze sales trends, stock, or cash flow
- Summarize documents — use Gemini Flash-Lite to convert purchase orders/invoices into ERP-ready data
- Automate repetitive tasks — use GPT-5.4 Computer-use to work on ERP screens instead of humans, such as data entry and report generation
Internal chatbot — use DeepSeek V4 to build a chatbot answering employee questions about how to use ERP
The key is that ERP must have good data first before AI can truly help — if data in ERP is incomplete or incorrect, AI will also produce inaccurate analysis. Many organizations are looking for ERP trends in 2026 that better support AI integration.
| Suitable For | Not Suitable For | |
|---|---|---|
| GPT-5.4 | Professional analysis, coding, screen automation, tasks requiring maximum accuracy | High-volume work with limited budget, routine tasks not requiring high quality |
| Gemini 3.1 Flash-Lite | Translation, content moderation, high-volume tasks, startups needing to scale fast | Deep reasoning analysis, mission-critical tasks |
| DeepSeek V4 | Self-hosted deployments, organizations needing data control, coding, long-context tasks | Organizations without a DevOps team, those needing high-quality Thai language output |
The AI war of 2026 is not about "which one is the best" — it's about "which one best fits your context." The winning organization is the one that chooses AI to match the problem, not the trend.
— Saeree ERP Team
