--- title: "OpenAI, Claude or Gemini for a customer AI agent: how to choose" description: "How to pick OpenAI, Claude or Gemini for a customer AI agent: Bangla quality, sticking to facts, order taking, speed and cost, plus a simple test plan." url: https://salemag.net/blog/openai-claude-gemini-for-customer-chat language: en published: 2026-09-28 updated: 2026-09-28 author: SaleMag Team tags: - openai - claude - gemini - ai agent --- # OpenAI, Claude or Gemini for a customer AI agent: how to choose > For a customer AI agent, OpenAI, Anthropic Claude and Google Gemini are all capable; the right choice depends on how well each handles your customers' Bangla and Banglish, how strictly it sticks to your facts, its speed and its token price. Start with each provider's small, fast model and test all three on 30 real customer messages. - All three providers are good enough for shop and support chats; your knowledge base matters more than the brand. - Start with the small, fast tier (OpenAI mini, Claude Haiku, Gemini Flash or Flash-Lite) and move up only if tests fail. - Test on your own messages: Banglish spellings, mixed scripts, typos and questions your shop cannot answer. - Order taking needs a model that can call tools reliably; current models from all three can. - Anthropic has no embeddings model of its own, which matters for meaning-based search over your documents. In one Facebook seller group, someone says ChatGPT is the only AI worth using. The next comment says Claude writes better Bangla. A third swears by Gemini because it is cheap. All three are partly right, and none of them tested it on your customers. The question for a shop or service business is narrow: which model answers "XL ache? dam koto?" correctly, in the customer's language, from your price list, fast and cheaply, and hands over when it should. That is very different from which AI is "smartest". This guide gives you the criteria that matter for customer chat, an honest comparison of the three providers, and a one-afternoon test you can run on your own messages. ## What matters when choosing an AI model for customer chat? Six things matter, and raw intelligence is not near the top. A customer AI agent answers short questions from your own facts, many times a day. | Criterion | Why it matters | How to check | |---|---|---| | Bangla and Banglish handling | Your customers write "koto", "কত" and "how much" | Test real messages | | Sticking to your facts | A model that "helpfully" invents a discount costs money | Ask about products you do not sell | | Tool calling | Order taking needs the model to look up products and build carts reliably | Run test orders | | Speed | A 10-second wait feels broken in chat | Time replies in testing | | Cost per reply | Thousands of replies a month add up | Tokens per reply x price | | Data terms | Customer names, phones and addresses pass through the model | Read the provider's API terms | Notice what is missing: writing essays, coding, solving puzzles. Benchmarks measure those. Your AI agent needs none of them. ## How do OpenAI, Claude and Gemini compare for customer chat? All three offer a family of models, from small and fast to large and slow, and all three can handle customer chat well. The differences are smaller than online arguments suggest. | | OpenAI | Anthropic (Claude) | Google (Gemini) | |---|---|---|---| | Small, fast tier | "mini" models | Haiku | Flash and Flash-Lite | | Larger tiers | Full-size GPT models | Sonnet, Opus | Pro | | Tool calling for orders | Yes, current models | Yes, current models | Yes, current models | | Embeddings for document search | Yes | No own embeddings model | Yes | | API data used for training | Not by default | Not by default | Paid tier not; free tier differs | | Pricing page | [openai.com](https://openai.com/api/pricing/) | [anthropic.com](https://www.anthropic.com/pricing) | [ai.google.dev](https://ai.google.dev/gemini-api/docs/pricing) | Model names change every few months, and so do prices. Treat any ranking you read, including this one, as a starting point for your own test. The embeddings row matters more than it looks. Embeddings let an AI agent find the right paragraph in your documents by meaning, so "kobe pabo?" finds your delivery-time policy even though the words differ. Without an embeddings provider, an AI agent falls back to keyword search, which works but misses more. This is part of [retrieval-augmented generation](https://salemag.net/glossary/retrieval-augmented-generation). ## Should you use a small model or a large model? Use a small model unless your tests prove you need a large one. For price, stock, delivery and order questions, small models are usually accurate, much faster and many times cheaper. Larger models earn their cost when the conversation is complicated: a support desk with long policy documents, multi-step troubleshooting, or customers who explain a problem over five messages. A boutique answering "red ta ache?" is not that. A practical rule: if the small model gets more than about nine in ten of your test messages right, the remaining errors are usually a knowledge base problem, not a model problem. ## How do you test models on your own customers' messages? Run the same 30 real messages through each provider's small model, with the same instructions and knowledge base, and score the replies. It takes one afternoon. Pick messages that cover the hard cases: - **Banglish spellings:** "dam koto", "price koto", "koto taka", "prc?" - **Bangla script:** "ডেলিভারি চার্জ কত?" - **Mixed messages:** "XL size e black ta ache? Dhakar baire kobe pabo?" - **Typos and slang:** "kmn dam", "deliveri" - **Questions you cannot answer:** a product you do not sell, a discount you never offered - **Handover cases:** "manager er sathe kotha bolbo", a complaint Score each reply on four points: | Score | Question | |---|---| | Correct | Did it state the right price, stock or policy, and nothing invented? | | Language | Did it reply in the customer's language and script? | | Handover | Did it hand over when it should, and only then? | | Tone | Would you send this reply yourself? | Add up the scores and put them next to cost per reply. Often two providers tie on quality, and price or speed decides. Our guide on [Banglish AI agent replies](https://salemag.net/blog/banglish-ai-agent-replies) has more test messages worth including. ## How fast does a customer AI agent need to be? Fast enough that the customer is still looking at the chat. In practice, a reply that arrives within a few seconds feels like a person typing; one that takes ten seconds or more feels broken, and the customer may send the same question again. Speed depends on the model tier, the length of your instructions and how much knowledge the AI agent reads per reply. Small models are usually the quickest. When you run the 30-message test, time a few replies from each provider at your busy hour, not at midnight, because response times can vary with load. ## What can no model fix? No model fixes a wrong or missing knowledge base. If last month's price list is still in the AI agent, every provider will quote last month's price, confidently. The safeguards that matter most sit outside the model: answering only from your catalog, checking every price against it, and handing over when nothing relevant is found. Our post on [stopping an AI agent from making up prices](https://salemag.net/blog/stop-ai-agent-wrong-prices) covers those. Switching models is the last fix to try, not the first. ## Does Meta's WhatsApp AI policy affect which model you use? No. Since 15 January 2026, Meta's [WhatsApp Business Solution terms](https://www.whatsapp.com/legal/business-solution-terms) bar AI providers from offering general-purpose assistants as the main service on the platform. A business AI agent that answers its own customers about its own products is allowed, whichever model powers it. Our explainer on [Meta's 2026 WhatsApp AI policy](https://salemag.net/blog/meta-whatsapp-ai-chatbot-policy-2026) covers the details. ## How does SaleMag work with OpenAI, Claude and Gemini? SaleMag's [AI agent](https://salemag.net/solutions/ai-agent) runs on your own key from OpenAI, Anthropic (Claude) or Google Gemini, and the provider bills you directly. When you paste a key, SaleMag checks it, lists the chat models that key can use, and recommends the newest small model of that provider by default: an OpenAI mini model, Claude Haiku or Gemini Flash-Lite. One connected provider is the default and answers chats. Any connected OpenAI or Gemini key also powers meaning-based search over your knowledge base, because Anthropic has no embeddings model. So you can answer with Claude and search with an OpenAI or Gemini key; with only an Anthropic key, the AI agent uses keyword search. The test playground shows the model, tokens, sources and handover decision behind each reply, which is exactly what you need for the 30-message test. ## Next steps Copy 30 real messages from last week's inbox and write the correct answer next to each. Run them through each provider's small model, score the replies, and compare cost per reply. Pick the winner, and retest when new models come out. To run the test with your own knowledge base, [start free](https://salemag.net/register) or [see pricing](https://salemag.net/pricing). ## Steps 1. **Collect 30 real messages**: Copy 30 recent customer messages, including Banglish, Bangla script, typos and questions you cannot answer. 2. **Write the expected answers**: Next to each message, write the correct answer from your price list or policy, or 'should hand over'. 3. **Run each provider's small model**: Send the same messages with the same instructions and knowledge base through each provider. 4. **Score and compare**: Score each reply for correct facts, language match, handover and tone, then compare totals with cost per reply. ## FAQ ### Which AI is best for a customer service AI agent? No single provider wins for every business. OpenAI, Anthropic Claude and Google Gemini all handle customer chat well; test each one's small model on your own customer messages and pick the one that answers correctly in your customers' language at a cost you accept. ### Which AI model understands Bangla and Banglish best? It varies by model version and by how your customers write. Run the same set of real Bangla and Banglish messages through each model and compare; results change as providers release new models, so retest every few months. ### Should I use a small or a large AI model for my AI agent? Start small. Small models such as OpenAI's mini models, Claude Haiku or Gemini Flash-Lite are fast and cheap, and are usually enough for price, stock and delivery questions. Move to a larger model only if your tests show it fails on real conversations. ### Do OpenAI, Anthropic and Google train on my AI agent conversations? By default, OpenAI and Anthropic say they do not train on data sent through their business APIs, and Google treats the paid Gemini API differently from the free tier. Check each provider's current terms before you send customer data. ### Can I switch AI providers later? Yes, if your AI agent platform lets you bring your own key and keeps your knowledge base separate from the model. In SaleMag you connect another provider's key and make it the default without rebuilding the AI agent. ### Is it allowed to use ChatGPT or Gemini models for a WhatsApp business AI agent? Yes. Meta's WhatsApp Business Solution terms, in force since 15 January 2026, bar general-purpose AI assistants as the main service, but a business AI agent that answers its own customers is allowed whichever model it runs on.