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Model details
o3-mini
o3-mini sits inside OpenAI's reasoning series as a small, latency-friendly successor to o1-mini, designed to keep operating costs low while pushing STEM problem-solving further. OpenAI's release page frames it as the most cost-efficient reasoning model in the series at launch, with particular strength in science, mathematics, and coding. The model was previewed during OpenAI's December 2024 "12 Days" event before becoming widely available through ChatGPT and the Chat Completions API on January 31, 2025. Its positioning reflects a clear goal: deliver capable multi-step reasoning to production workloads that previously had to choose between quality and affordability. A practical draw is the combination of reasoning depth and tooling support that earlier small reasoning models lacked. o3-mini is described as OpenAI's first small reasoning model to ship with function calling, Structured Outputs, developer messages, and streaming, making it ready for real applications out of the gate. Developers can also tune behavior via three reasoning effort settings—low, medium, and high—trading latency for deeper "thinking" on harder problems. Vision is not part of the package, so visual reasoning tasks remain the territory of larger OpenAI models, while text-only reasoning, agent-style tool use, and structured data extraction are the natural fits here.
For teams choosing where o3-mini fits, the qualitative picture is straightforward: it is a fast, economical text model aimed at STEM queries, code generation, and tool-augmented workflows. The reasoning effort toggle makes it flexible enough to power quick chat replies at low effort and more deliberate analytical answers at high effort, without swapping models. Structured Outputs and function calling open the door to reliable JSON generation and agent orchestration, while streaming keeps interactive experiences responsive. The main scoping limitation to keep in mind is the absence of vision support, so multimodal pipelines should pair o3-mini with a vision-capable model rather than rely on it alone.
Quick Info
Powered by- Provider
- NEAR AI Cloud
- Model key
- openai/o3-mini
- Release date
- Dec 20, 2024
- Last updated
- Jan 29, 2025
- Knowledge cutoff
- 2024-05
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $1.10
- Output token cost
- $4.40
Limits
- Output tokens
- 100,000 tokens
- Context window
- 200,000 tokens
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