Choosing the Right AI Model for Your Needs

When you build with AgentX, you only pay for the responses your Agent generates. Each model costs a set number of credits, depending on how powerful it is. But “powerful” doesn’t always mean “better” - sometimes speed matters more, sometimes you need deep reasoning.

This guide will walk you through each tier of models, what they’re good at, and real-world examples of when to use them.

⚡ 1 Credit Models — Ultra-Fast & Budget-Friendly

Models in this tier:

• GPT 5 / 4.1 nano

• Nova Lite (Amazon)

• LLaMA 3.2 3B (Meta)

• Grok 3 mini (xAI)

• DeepSeek V3

• Claude 3.5 Haiku (Anthropic)

Why choose them?
These are the sprinters of the AI world. They’re not designed to solve huge logic puzzles or write 50-page reports, but they shine when your Agent needs to be responsive and handle lots of requests cheaply.

Best for:

• High-volume FAQ answering

• Short summaries of emails or chat logs

• Simple conversational agents where personality and speed matter more than complexity

Real-life examples:

• A retail Agent answering “Where’s my package?” hundreds of times per hour.

• A school chatbot telling parents what time pick-up is.

• A support bot triaging customer issues before handing off to a human.

👉 If speed and cost are your top priorities, stick with 1-credit models. They’re reliable, quick, and wallet-friendly.

⚖️ 2–3 Credit Models - More Capable, Still Practical

Models in this tier:

• GPT 5 / 4.1 mini (1 credit)

• GPT 5 / 4.1 (2 credits)

• Nova Micro (Amazon, 2 credits)

• LLaMA 3.2 11B (Meta, 3 credits)

• Grok 3 (xAI, 3 credits)

• Claude 4 Sonnet (Anthropic, 3 credits)

Why choose them?
These models sit at the sweet spot between ability and affordability. They can handle more complex instructions and sustain multi-turn conversations.

⚠️ Note: GPT 5 is powerful but slower. If your Agent needs to think carefully (summarizing long text, explaining reasoning, or handling tricky instructions), GPT 5 is a great pick. But if your users expect lightning-fast replies, consider GPT mini, Nova Micro, or Claude Sonnet.

Best for:

• Customer support that needs more than canned answers

• Step-by-step explanations

• Moderate reasoning and structured outputs

Real-life examples:

• A travel Agent planning a multi-stop trip with hotel + activity recommendations.

• A banking Agent comparing different loan options and explaining trade-offs.

• An HR chatbot guiding employees through leave policies or benefits.

👉 Use these models when you want more “brains” without paying premium credit costs.

🧠 3–4 Credit Models - Advanced Thinkers and Specialists

Models in this tier:

• Nova Pro (Amazon, 4 credits)

• LLaMA 3.3 70B (Meta, 4 credits)

• Grok 4 (xAI, 3 credits)

• Claude 4 Opus (Anthropic, 3 credits)

• DeepSeek R1 (4 credits)

Why choose them?
These are the heavyweights. They’re slower and more expensive per response, but they excel at reasoning, writing, coding, and analyzing complex documents.

Best for:

• Complex workflows where mistakes are costly

• Legal, healthcare, or compliance-related queries

• Technical support that involves coding or calculations

Real-life examples:

• A healthcare Agent checking treatment guidelines across hundreds of pages.

• A legal support bot summarizing contracts and spotting potential risks.

• An engineering Agent generating code for automation, PCB design, or simulations.

👉 Use these models when accuracy matters more than speed. They’re the ones you call in for the “hard stuff.”

📝 Cheat Sheet for Quick Decisions

• 1 Credit: Super fast, best for FAQs, summaries, and high-volume tasks.

• 2–3 Credits: Balanced intelligence. Great for customer support, planning, and structured responses. GPT 5 is powerful but slower; Sonnet and Nova Micro are faster mid-tier options.

• 3–4 Credits: Deep thinkers. Use for legal, medical, technical, or research-heavy scenarios where careful reasoning is essential.

🎯 Final Takeaway

Choosing the right model is about matching speed, cost, and intelligence to your use case:

• For instant answers → stick with 1-credit sprinters.

• For conversational depth and guidance → 2–3 credit models are your best bet.

• For complex reasoning and high-stakes tasks → call in the heavyweights at 3–4 credits.

👉 Always start with the fastest model that meets your needs — upgrade only when the problem requires more depth.