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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.
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
qwen1.5-7b-chat-awq is NaN% cheaper
| Spec | qwen1.5-7b-chat-awq | NVIDIA Nemotron-4 340B Instruct |
|---|---|---|
| Provider | qwen | nvidia |
| Input price / 1M tokens | Free | Free |
| Output price / 1M tokens | — | — |
| Context window | 20k tokens | 4k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization.
NVIDIA Nemotron-4 340B Instruct is a large open language model trained to generate diverse synthetic data for training other LLMs. Strong at following instructions, classification, and generating reward model training data.
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