What I wanted to find out
How capability, cost, reliability, guardrails, ease of integration, and data handling compare across providers that could realistically serve Skoolbod.
How to explain those trade-offs to people who aren’t engineers, without hiding the numbers engineers need.
What exists so far
- A side-by-side comparison of DeepSeek, OpenAI GPT-5 mini, Anthropic Claude Haiku, and Google Gemini Flash.
- A plain-language explanation of each criterion, with the supporting figures kept in a separate technical section.
- A summary of independent red-team findings and each provider’s data-handling terms.
The comparison
| Criterion | DeepSeek | OpenAI (GPT-5 mini) | Anthropic (Claude Haiku) | Google (Gemini Flash) |
|---|---|---|---|---|
| Relative cost | Lowest (the baseline) | About 2 to 7 times | About 7 to 10 times | About 10 to 18 times |
| Capability | High | Good | Good | Good |
| Guardrails | Weaker in published tests | Strong | Strong | Strong |
| Uptime over the past year | About 97.8% | 99.9% or better | 99.9% or better | 99.9% or better |
| Ease of integration | Easy, with less mature tooling | Easiest | Easy | Easy |
| Where data is stored | China | USA | USA | USA |
Choices that shaped it
Data handling carries real weight for children’s data
Skoolbod handles children’s data, and Nigeria’s Data Protection Act limits sending that kind of data abroad without proper legal safeguards. I couldn’t find evidence that DeepSeek offers the formal data protection agreement this would need, and its terms reportedly allow API data to be used for training. OpenAI, Anthropic, and Google offer such agreements and exclude API data from training.
Read guardrail tests carefully
The independent red-team tests that found weaker guardrails in DeepSeek were run on an earlier version more than a year before the research, and I couldn’t find equally rigorous tests of the current one. A separate study found that fine-tuning could remove guardrails from every model it tested, so no provider’s safety controls are absolute.
Keep switching possible
DeepSeek’s API is compatible with OpenAI’s, so moving between the two, or using both, is technically feasible.
What this doesn’t show yet
- No provider has been selected. This research supports the decision; it doesn’t make it.
- There is no prototype and no released Skoolbod AI feature. The team is still experimenting with models.
- Prices, uptime, and model versions change quickly, so the figures describe the time of the research.
- The guardrail findings come from third-party tests of earlier model versions.
What I learned
The cheapest option, and one of the most capable on paper, was also the hardest to justify for children’s data. Data handling has to be weighed alongside price and benchmark scores.
Next step
Keep the comparison current while the team experiments with models ahead of a prototype.
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