AI Model Profile
Phi-4-mini-reasoning
Phi-4-mini-reasoning is a lightweight Microsoft open model for advanced math reasoning in the Phi-4 family.
Before you buy
Best for: Small local reasoning tests and math-focused experiments.
Price: C$0 weight download; license restrictions and compute costs apply
Included: Phi-4-mini-reasoning is a lightweight Microsoft open model for advanced math reasoning in the Phi-4 family.
Main limits: Verify model-card license terms before commercial deployment. Hardware depends on runtime and quantization. Availability, pricing, and real-world quality should be rechecked against official docs and a task-specific evaluation before production use.
What Kingy showed: Related coverage: The cheapest AI API models in 2026—priced as workloads, not headlines. This review does not treat that article as a new test of this exact model, plan or current release.
Buying details checked 2026-10-23 with region and currency stated above. Historical demonstrations and the broader fact ledger keep their own dates.
See the demonstration and disclosure · Compare these workflows
- Family
- Phi
- Release date
- Unknown
- Status
- Current
- Context window
- 128K tokens
- 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 local reasoning tests and math-focused experiments.
Skip if
Skip if broader reasoning, coding, or multimodal performance is more important than model size.
Strengths
Microsoft's model card describes Phi-4-mini-reasoning as lightweight and math-reasoning-focused.
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.
Kingy AI Product Facts
Phi-4-mini-reasoning
Current statusUnknown
- Company
- Not yet reviewed
- Primary job
- Not yet reviewed
- Audience
- Not yet reviewed
- Evidence
- Source-backed; coverage expanding
- Latest source check
- October 23, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline
Sources and checks
- Coverage
- 1 of 88 tracked fields currently verified
- Sources
- 1
Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.
Plans and pricing units
Not yet structured in this Kingy record.
Where it runs
- Availability
- Not yet reviewed
Stack and integrations
- Model / provider dependencies
- Not yet reviewed
- Integrations
- Not yet reviewed
Data and regions
- Vendor data-use claim
- Not yet reviewed
- Vendor retention claim
- Not yet reviewed
- Regions
- Not yet reviewed
Launch and latest material update
- Launch
- Not yet reviewed
- Latest material update
- Not yet reviewed
Full Model Notes
Who should consider it
Small local reasoning tests and math-focused experiments. Phi-4-mini-reasoning is a lightweight Microsoft open model for advanced math reasoning in the Phi-4 family.
Plan, price and billing scope
C$0 weight download; license restrictions and compute costs apply. Phi-4-mini-reasoning is a lightweight Microsoft open model for advanced math reasoning in the Phi-4 family. Prices use the currency and billing term stated here. Where a numeric rate, region or current entitlement could not be verified, it remains explicit; no checkout was completed.
Limits that affect the decision
Verify model-card license terms before commercial deployment. Hardware depends on runtime and quantization. Availability, pricing, and real-world quality should be rechecked against official docs and a task-specific evaluation before production use.
What the existing evidence shows
Related coverage: The cheapest AI API models in 2026—priced as workloads, not headlines. This review does not treat that article as a new test of this exact model, plan or current release. Related workflow reading; not a demonstration of this exact product. Read the related article.
Sources and buying-review date
Buying review completed October 23, 2026. This is a source-based buying assessment. No paid product test, new generation, checkout or performance benchmark was performed. Vendor descriptions and historical examples remain distinct from independently measured results. The date does not renew the broader canonical fact ledger.
Check the official offer · Compare related options
Earlier profile, sources and dates
This older record retains its original scope. Current buying qualifications above take precedence where terms have changed.
Phi-4-mini-reasoning is a lightweight Microsoft open model for advanced math reasoning in the Phi-4 family.
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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 model-card license terms before commercial deployment.
Hardware requirements
Hardware depends on runtime and quantization.
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.