Microsoft
Phi-4-reasoning
Microsoft's 14B dense reasoning model, released April 30, 2025 under the MIT license. It accepts and produces text with a 32K-token context. Supervised fine-tuning emphasizes mathematical reasoning, science and coding. Designed for reasoning research and applications with constrained memory or compute, with downloadable weights for local deployment.
32K tokens
Text only
Pro
- Provider
- Microsoft
- Context
- 32KEstimated · As of Aug 11, 2026Stale · 31d old
- yno subscription tier
- Pro
- Released
- Apr 30, 2025
- Speed
- Fast
- Reasoning
- Expert
- Modality
- Text only
Benchmarks
Quality
- AA Intelligence Index
- 16pointsEstimated · As of Aug 11, 2026Stale · 31d old
- GPQA Diamond
- 80%Estimated · As of Aug 11, 2026Stale · 31d old
Speed and latency
- Output speed
- 142tokens/sEstimated · As of Aug 11, 2026Stale · 31d old
API pricing
Not available
AA measurements unavailable
Indexes use points; evaluations use accuracy percentages. API measurements do not measure yno application performance. Methodology
Capabilities
- Reasoning
- Small Model
- Open Source
- Math
- Code
- Fine-tuning
Use cases
- Edge reasoning
- Cost-sensitive inference
- Fine-tuned deployments
- Local agents
Strengths
- 14B dense parameters
- 32K context
- MIT-licensed weights
- Reasoning-focused fine-tuning
Best for
Teams evaluating a locally deployable 14B model for mathematical reasoning
Use Phi-4-reasoning in yno.ai
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Related models
Frequently asked
- What is Phi-4-reasoning?
- Microsoft's 14B dense reasoning model, released April 30, 2025 under the MIT license. It accepts and produces text with a 32K-token context. Supervised fine-tuning emphasizes mathematical reasoning, science and coding. Designed for reasoning research and applications with constrained memory or compute, with downloadable weights for local deployment.
- How much does Phi-4-reasoning cost in yno.ai?
- Phi-4-reasoning is available on the Pro tier of yno.ai.
- What can Phi-4-reasoning do?
- Phi-4-reasoning is best for Teams evaluating a locally deployable 14B model for mathematical reasoning. Its main capabilities include Reasoning, Small Model, Open Source, Math, Code, Fine-tuning.
- How does Phi-4-reasoning compare to other models?
- Phi-4-reasoning excels at 14B dense parameters and is recommended for Edge reasoning, Cost-sensitive inference, Fine-tuned deployments, Local agents. See related models below.
- How do I use Phi-4-reasoning in yno.ai?
- Sign up for yno.ai, select Phi-4-reasoning from the model picker, and start chatting.