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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.
💰Microsoft Phi-4 Mini is 100% cheaper than Qwen3 235B A22B Thinking 2507 FP8
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Microsoft Phi-4 Mini is Infinity% cheaper
| Spec | Microsoft Phi-4 Mini | Qwen3 235B A22B Thinking 2507 FP8 |
|---|---|---|
| Provider | microsoft | qwen |
| Input price / 1M tokens | Free | $0.65 |
| Output price / 1M tokens | — | $3.00 |
| Context window | 128k tokens | 262k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | Yes | No |
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.
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
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