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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.
💰Microsoft Phi-4 Mini is 100% cheaper than AI21 Jamba 1.6 Large
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Microsoft Phi-4 Mini is Infinity% cheaper
| Spec | AI21 Jamba 1.6 Large | Microsoft Phi-4 Mini |
|---|---|---|
| Provider | ai21 | microsoft |
| Input price / 1M tokens | $2.00 | Free |
| Output price / 1M tokens | $8.00 | — |
| Context window | 256k tokens | 128k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | Yes |
AI21 Jamba 1.6 Large uses a hybrid Mamba-Transformer architecture offering low memory footprint and high throughput compared to equivalent Transformer models. Features 256K context at a fraction of the inference cost.
Microsoft Phi-4 Mini is a 3.8B parameter compact model from Microsoft. Delivers impressive reasoning capabilities for edge and mobile deployment scenarios, with strong performance on math and coding tasks relative to its size.
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