GenAIWiki

o1

LegacyFrontier

OpenAI’s o1 series emphasizes extended internal reasoning before answering—useful for competition-style math, complex debugging, and multi-step planning where latency is acceptable.

Provider

OpenAI

Model family

OpenAI o-series

Reasoning LLM

Cost tier

Full

Status

Legacy

Why teams choose it

🧠

Broad capability envelope

Useful when the same stack must cover chat, multimodal inputs, tooling, or structured-output shapes without juggling many SKUs.

📎

Long-context analysis

Helps teams summarize, compare, and extract insights from long documents without losing important nuance.

⚙️

Coding and tools

Works well for code assistance, tool calling, and agent workflows where instructions must stay consistent across steps.

✍️

Cost-efficient routing

Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.

Tradeoffs to know

  • Higher cost per successful answer on easy prompts if mis-routed.
  • API capabilities evolve—check tool-use support on your snapshot.

When not to use this

  • Not ideal for simple tasks where cheaper models in the same lineup are good enough.
  • Avoid for latency-sensitive real-time chat when raw response speed outweighs reasoning depth.
  • Confirm limits, pricing, and regional availability on the provider side before committing production workloads.

Technical specs

Inputs
text
Outputs
text
Capabilities
reasoning, math, coding
License
See vendor
Model string
o1

Benchmarks

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OpenAI o-series family lineup


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