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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.
💰hangul-sft-adapter-v12-r32 is 100% cheaper than AI21 Jamba 1.6 Mini
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
hangul-sft-adapter-v12-r32 is Infinity% cheaper
| Spec | AI21 Jamba 1.6 Mini | hangul-sft-adapter-v12-r32 |
|---|---|---|
| Provider | ai21 | eemoogee |
| Input price / 1M tokens | $0.20 | Free |
| Output price / 1M tokens | $0.40 | — |
| Context window | 256k tokens | — |
| Latency (p50) | — | — |
| 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.
Open-source hangul-sft-adapter-v12-r32 model from eemoogee — available for download and self-hosting on Hugging Face.
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