While tokenization varies between models, on average, 1 token ≈ 3.5 characters in English.Note: Each model uses its own tokenizer, so actual token c

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While tokenization varies between models, on average, 1 token ≈ 3.5 characters in English.Note: Each model uses its own tokenizer, so actual token counts may vary significantly.

Provider performance varies significantly. Some providers run full-precision models on specialized hardware accelerators (like Groq's LPU or Cerebras' CS-3), while others may use quantization (4-bit, 8-bit) to simulate faster speeds on commodity hardware. Check provider documentation for specific hardware and quantization details, as this can impact both speed and model quality.

Observe how different processing speeds affect real-time token generation.Try adjusting the speeds using the number inputs above each panel ↑