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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 Maverick is 100% cheaper than Llama 4 Maverick Instruct (17Bx128E) FP8
⚡Llama 4 Maverick Instruct (17Bx128E) FP8 is 24ms faster than Meta: Llama 4 Maverick
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
| Spec | Meta: Llama 4 Maverick | Llama 4 Maverick Instruct (17Bx128E) FP8 |
|---|---|---|
| Provider | meta-llama | meta-llama |
| Input price / 1M tokens | Free | $0.27 |
| Output price / 1M tokens | — | $0.85 |
| Context window | 1049k tokens | 1049k tokens |
| Latency (p50) | 24ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
This 17-billion parameter mixture-of-experts model with 128 experts, optimized for instruction-following tasks with an expansive 1 million token context window, serves developers and organizations needing cost-effective long-document processing and complex reasoning while maintaining high performance across diverse applications.
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