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Why we still recommend OpenAI over Anthropic for SA-market chatbots

The hot take is wrong. After ~50,000 production calls across both providers, here's what we actually see — and why our default is still OpenAI for SA chat workloads.

Why we still recommend OpenAI over Anthropic for SA-market chatbots

We are not religious about model providers. We use Claude, we use Gemini, we use Llama via Bedrock. But when a South African client asks us "which model should we put behind our customer chatbot", our default is still OpenAI's GPT-4o and gpt-4o-mini.

Here's why, after about 50,000 production calls split across providers.

Latency from SA matters

Claude is hosted primarily in US-East. Round-trip from JHB averages 380ms on the first token, 220ms steady. OpenAI's primary region is also US but via Azure's South African POP it's 180ms first token. For a chat widget where the user is watching for the response, that 200ms difference is felt.

SA English vs International English

GPT-4o handles Afrikaans-flavoured English, isiZulu transliteration and our number conventions ("R10k" for ten thousand rand) noticeably better than Claude in our blind A/B testing. Not by a huge margin — but consistently.

JSON-mode reliability

For production agents that must return structured JSON, gpt-4o's response_format: json_object is rock-solid. Claude's structured output via XML tags is good but not as predictable in our hands.

Cost

GPT-4o-mini is roughly half the cost of Haiku and a tenth the cost of Sonnet for short-turn conversational workloads. For a SA SME running 10k chats a month, that's a real budget line.

None of this is forever. We re-evaluate every quarter. If you want our current per-use-case recommendation, drop us a line.

Topics ["ai","openai","anthropic","benchmarks"]
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About the writers

Sitect Editorial Team

Sitect editorial team

Practical guides from Sitect, the AI integration partner in Midrand — on AI, digital marketing, websites and apps for South African businesses.

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