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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.
💰Qwen: Qwen2.5 VL 32B Instruct is 90% cheaper than AI21 Jamba 1.6 Large
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 900% cheaper
| Spec | AI21 Jamba 1.6 Large | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | ai21 | qwen |
| Input price / 1M tokens | $2.00 | $0.20 |
| Output price / 1M tokens | $8.00 | $0.60 |
| Context window | 256k tokens | 128k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
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.
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual...
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