GenAIWiki

Phi-3 Mini

LegacyFrontier

Phi-3 Mini is a production-oriented AI model from Microsoft. Use it when its capabilities, cost profile, and deployment constraints fit your workflow better than nearby alternatives.

Newer version: Phi-4

Provider

Microsoft

Model family

Microsoft Phi

Small LLM

Cost tier

Mini

Status

Legacy

Why teams choose it

🧠

Complex reasoning

Useful for workflows that require structured thinking, multi-step logic, and deeper analysis than lightweight models provide.

📎

Long-context analysis

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

⚙️

Microsoft roadmap vigilance

Use published model pages—not stale marketing blurbs—for modalities, quotas, pricing, and policy; schedule revalidation tied to vendor release notes.

✍️

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-quality tiers usually trade latency and dollars per token against smaller siblings in the same lineup.
  • Regional availability, quota, and policy guardrails differ by account—verify what your region and billing tier can rely on today.
  • When pricing or limits change often, treat routing metadata as versioned configuration, not one-time boilerplate.

When not to use this

  • Not ideal for sprawling research or brittle multi-hop reasoning unless you constrain scope tightly.
  • Avoid for regulated or high-stakes outputs without evaluations that mimic your tooling, data, and review process.
  • Promote traffic to heavier tiers inside the family when workflows need richer tools and longer horizons.

Technical specs

Inputs
text
Outputs
text
Capabilities
general-purpose
License
See provider
Model string
phi-3-mini

Benchmarks

No benchmark data yet.

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Microsoft Phi family lineup


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