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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.
💰Meta: Llama 4 Scout is 100% cheaper than llama-4-scout-17b-16e-instruct
⚡Meta: Llama 4 Scout is 389ms faster than llama-4-scout-17b-16e-instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Meta: Llama 4 Scout is 1341% faster
| Spec | llama-4-scout-17b-16e-instruct | Meta: Llama 4 Scout |
|---|---|---|
| Provider | meta | meta-llama |
| Input price / 1M tokens | $0.27 | Free |
| Output price / 1M tokens | $0.85 | — |
| Context window | 131k tokens | 328k tokens |
| Latency (p50) | 418ms | 29ms |
| Best benchmark score | — | — |
| Open source | No | No |
Meta's Llama 4 Scout is a 17 billion parameter model with 16 experts that is natively multimodal. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
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