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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.
💰granite-4.0-h-micro is 91% cheaper than AI21 Jamba 1.6 Mini
⚡AI21 Jamba 1.6 Mini is 541ms faster than granite-4.0-h-micro
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
granite-4.0-h-micro is 1076% cheaper
| Spec | AI21 Jamba 1.6 Mini | granite-4.0-h-micro |
|---|---|---|
| Provider | ai21 | ibm-granite |
| Input price / 1M tokens | $0.20 | $0.02 |
| Output price / 1M tokens | $0.40 | $0.11 |
| Context window | 256k tokens | 131k tokens |
| Latency (p50) | — | 541ms |
| 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.
Granite 4.0 instruct models deliver strong performance across benchmarks, achieving industry-leading results in key agentic tasks like instruction following and function calling. These efficiencies make the models well-suited for a wide range of use cases like retrieval-augmented generation (RAG), multi-agent workflows, and edge deployments.
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