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)
Qwen3 235B A22B is NaN% cheaper
| Spec | Qwen3 235B A22B | Microsoft Phi-4 Mini |
|---|---|---|
| Provider | alibaba | microsoft |
| Input price / 1M tokens | Free | Free |
| Output price / 1M tokens | — | — |
| Context window | 128k tokens | 128k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | Yes | Yes |
Qwen3 235B A22B is Alibaba's flagship mixture-of-experts model with 235B total parameters and 22B active per token. Delivers frontier-level performance on coding, reasoning, and multilingual tasks at significantly lower inference cost.
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.