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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 93% cheaper than Magnum v4 72B
⚡AI21 Jamba 1.6 Mini is 18ms faster than Magnum v4 72B
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
AI21 Jamba 1.6 Mini is 1400% cheaper
| Spec | AI21 Jamba 1.6 Mini | Magnum v4 72B |
|---|---|---|
| Provider | ai21 | anthracite-org |
| Input price / 1M tokens | $0.20 | $3.00 |
| Output price / 1M tokens | $0.40 | $5.00 |
| Context window | 256k tokens | 33k tokens |
| Latency (p50) | — | 18ms |
| 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.
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
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