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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.
💰AI21 Jamba 1.6 Mini is 26% cheaper than llama-4-scout-17b-16e-instruct
⚡AI21 Jamba 1.6 Mini is 418ms faster than llama-4-scout-17b-16e-instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
AI21 Jamba 1.6 Mini is 35% cheaper
| Spec | AI21 Jamba 1.6 Mini | llama-4-scout-17b-16e-instruct |
|---|---|---|
| Provider | ai21 | meta |
| Input price / 1M tokens | $0.20 | $0.27 |
| Output price / 1M tokens | $0.40 | $0.85 |
| Context window | 256k tokens | 131k tokens |
| Latency (p50) | — | 418ms |
| Best benchmark score | — | — |
| Open source | No | No |
AI21 Jamba 1.6 Mini is a lightweight Mamba-Transformer hybrid optimized for cost-effective, high-throughput inference with an impressive 256K context window. An excellent choice for document-heavy workloads on a budget.
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.
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