01Deep dive
Meaning and practical implications
Input and output tokens may have different rates. Cached input, reasoning, audio, or image processing can have additional billing rules; a single blended rate can conceal the actual cost.
AI tokens are units used to encode inputs or outputs for a model. Token counts can affect context limits, latency, and API charges.
Input and output tokens may have different rates. Cached input, reasoning, audio, or image processing can have additional billing rules; a single blended rate can conceal the actual cost.
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