Loading...
Loading...
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 | Microsoft Phi-4 Mini |
|---|---|---|
| Provider | qwen | microsoft |
| Input price / 1M tokens | Free | Free |
| Output price / 1M tokens | — | — |
| Context window | 20k tokens | 128k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | Yes |
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.
Microsoft Phi-4 Mini is a 3.8B parameter compact model from Microsoft. Delivers impressive reasoning capabilities for edge and mobile deployment scenarios, with strong performance on math and coding tasks relative to its size.
Want to swap in a different model or estimate monthly costs?
Help my team choose the right model
Not sure which model fits your workload, budget, and latency requirements? Get a tailored recommendation.