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OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Benchmarksjust now | 84 | 30% | +25.2 |
| Capabilitiesjust now | 100 | 20% | +20.0 |
| Recencyjust now | 70 | 15% | +10.5 |
| Context Windowjust now | 84 | 10% | +8.4 |
| Output Capacityjust now | 83 | 10% | +8.3 |
| Pricingjust now | 4 | 15% | +0.7 |
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成本估算器
每月比类别平均节省$21.64
来自已验证的来源。