AI Model Profile
Phi-4
Phi-4 is a Microsoft Research open model carded on Hugging Face for high-quality reasoning-focused tasks.
- Family
- Phi
- Release date
- Unknown
- Status
- Current
- Context window
- Unknown
- Output limit
- Unknown
- API
- yes
- Open weights
- yes
- Local/self-hosted
- yes
- Pricing
- Open weights; operating cost depends on deployment.
- Evidence state
- Recheck due
Benchmark Caveat
Benchmarks and provider capability notes are directional, not universal rankings. Results can shift with prompts, tool use, latency targets, pricing tier, safety filters, context length, and the workload mix a real team runs.
See the linked official model, docs, model-card, or pricing source for provider-published capability notes.
Best for
Small-model reasoning tests, local experimentation, and Microsoft Phi family comparisons.
Skip if
Skip if you need frontier-scale capability or a managed API with strong enterprise SLAs.
Strengths
Microsoft's model card describes Phi-4 as an open model built from synthetic, public-domain, and acquired data sources.
Weaknesses
Availability, pricing, and real-world quality should be rechecked against official docs and a task-specific evaluation before production use.
Agent suitability
Useful for agent workflows when the provider supports tool use, long context, structured outputs, or workflow-specific APIs.
Kingy AI take
Use this as a source-backed shortlist candidate, not a universal ranking. Re-check official provider docs and run a task-specific trial before production adoption.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 1
- Freshness
- Needs recheck: checked June 24, 2026
- Last updated
- June 23, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Full Model Notes
Phi-4 is a Microsoft Research open model carded on Hugging Face for high-quality reasoning-focused tasks.
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Coding notes
Use official docs and live evals before selecting this model for production coding workflows.
Reasoning notes
Provider capability notes are useful but should be validated on representative prompts and tools.
Creative notes
Use a small creative test set before standardizing outputs for brand, media, or customer-facing work.
Research notes
Track release notes and model lifecycle notices because availability and aliases can change.
API pricing notes
Check the official pricing page before budget decisions; Kingy does not freeze token, credit, or subscription prices in model cards.
License notes
Verify the Hugging Face model card license and acceptable-use terms before commercial use.
Hardware requirements
Hardware depends on runtime, quantization, and chosen Phi-4 variant.
Official Model Links
Model Intelligence Research Map
Use these internal paths to move from this model profile into provider pages, static comparison pages, related Kingy records, and the broader AI launch graph. These are research paths, not rankings.