3 ms·
It's worth noting that most of these models have a similar price-per-1M-tokens, so differentiation is mostly whether the model output has the right "vibe" for y
by minimaxir 3y ago
It's worth noting that most of these models have a similar price-per-1M-tokens, so differentiation is mostly whether the model output has the right "vibe" for your use case, which can't easily be represented in most benchmarks.
Competition will encourage a price race to the bottom (marginal cost = marginal revenue), but I question whether some of these companies will be able to maintain it long-term without lots and lots of venture capital.
- exitb 3y agoI have a use case where GPT-3.5 is a bit inconsistent and GPT-4 is a little too expensive. I’ve been happy with Claude 3 Sonnet, though. They’re definitely worth a try and provide more granular choice.