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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
⚡OpenAI: GPT-3.5 Turbo 16k is 59ms faster than whisper-tiny-en
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
OpenAI: GPT-3.5 Turbo 16k is 268% faster
| Spec | whisper-tiny-en | OpenAI: GPT-3.5 Turbo 16k |
|---|---|---|
| Provider | openai | openai |
| Input price / 1M tokens | Free | Free |
| Output price / 1M tokens | — | — |
| Context window | — | 16k tokens |
| Latency (p50) | 81ms | 22ms |
| Best benchmark score | — | — |
| Open source | No | No |
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
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