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Phi-3 Medium 128K vs Phi-4 Mini Flash Reasoning

Phi-3 Medium 128K (2024) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from Microsoft Research. Phi-3 Medium 128K ships a 128K-token context window, while Phi-4 Mini Flash Reasoning ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Phi-4 Mini Flash Reasoning is safer overall; choose Phi-3 Medium 128K when provider fit matters.

Specs

Specification
Released2024-05-212025-12-01
Context window128K128K
Parameters14B
Architecturedecoder onlydecoder only
LicenseOpen Source1
Knowledge cutoff--

Pricing and availability

Pricing attributePhi-3 Medium 128KPhi-4 Mini Flash Reasoning
Input price$0.5/1M tokens-
Output price$1.5/1M tokens-
Providers

Capabilities

CapabilityPhi-3 Medium 128KPhi-4 Mini Flash Reasoning
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Phi-4 Mini Flash Reasoning. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Phi-3 Medium 128K has $0.5/1M input tokens and Phi-4 Mini Flash Reasoning has no token price sourced yet. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Phi-3 Medium 128K when provider fit and broader provider choice are central to the workload. Choose Phi-4 Mini Flash Reasoning when reasoning depth are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Phi-3 Medium 128K or Phi-4 Mini Flash Reasoning?

Phi-3 Medium 128K supports 128K tokens, while Phi-4 Mini Flash Reasoning supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Phi-3 Medium 128K or Phi-4 Mini Flash Reasoning open source?

Phi-3 Medium 128K is listed under Open Source. Phi-4 Mini Flash Reasoning is listed under 1. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, Phi-3 Medium 128K or Phi-4 Mini Flash Reasoning?

Phi-4 Mini Flash Reasoning has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Phi-3 Medium 128K and Phi-4 Mini Flash Reasoning?

Phi-3 Medium 128K is available on Microsoft Foundry and NVIDIA NIM. Phi-4 Mini Flash Reasoning is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Phi-3 Medium 128K over Phi-4 Mini Flash Reasoning?

Phi-4 Mini Flash Reasoning is safer overall; choose Phi-3 Medium 128K when provider fit matters. If your workload also depends on provider fit, start with Phi-3 Medium 128K; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Flash Reasoning.

Continue comparing

Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.