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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.
💰llama-3.3-70b-instruct-fp8-fast is 50% cheaper than llama-3.3-70b-versatile
⚡llama-3.3-70b-instruct-fp8-fast is 6ms faster than llama-3.3-70b-versatile
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
llama-3.3-70b-instruct-fp8-fast is 101% cheaper
llama-3.3-70b-instruct-fp8-fast is 3% faster
| Spec | llama-3.3-70b-instruct-fp8-fast | llama-3.3-70b-versatile |
|---|---|---|
| Provider | meta | groq |
| Input price / 1M tokens | $0.29 | $0.59 |
| Output price / 1M tokens | $2.25 | $0.79 |
| Context window | 24k tokens | 131k tokens |
| Latency (p50) | 196ms | 202ms |
| Best benchmark score | — | — |
| Open source | No | No |
Llama 3.3 70B quantized to fp8 precision, optimized to be faster.
Meta's Llama 3.3 70B — latest iteration with improved instruction following, served on Groq LPU.
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