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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.
💰aura-2-es is 100% cheaper than AI21 Jamba 1.6 Mini
⚡AI21 Jamba 1.6 Mini is 59ms faster than aura-2-es
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
aura-2-es is Infinity% cheaper
| Spec | AI21 Jamba 1.6 Mini | aura-2-es |
|---|---|---|
| Provider | ai21 | deepgram |
| Input price / 1M tokens | $0.20 | Free |
| Output price / 1M tokens | $0.40 | — |
| Context window | 256k tokens | — |
| Latency (p50) | — | 59ms |
| 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.
Aura-2 is a context-aware text-to-speech (TTS) model that applies natural pacing, expressiveness, and fillers based on the context of the provided text. The quality of your text input directly impacts the naturalness of the audio output.
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