An interesting parameter that I don't read about a lot is vocab size. A larger vocab means you will need to generate less tokens for the same word on average, also the context window will be larger. This means that a model with a large vocab might be more expensive on a per token basis, but would generate less tokens for the same sentence, making it cheaper overall. This should be taken into consideration when comparing API prices.