LLM ReferenceLLM Reference

Code Davinci 002 vs Phi-4 Mini Reasoning

Code Davinci 002 (2021) and Phi-4 Mini Reasoning (2026) are agentic coding models from OpenAI and Microsoft Research. Code Davinci 002 ships a not-yet-sourced context window, while Phi-4 Mini Reasoning ships a not-yet-sourced 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 Reasoning is safer overall; choose Code Davinci 002 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalCode Davinci 002Phi-4 Mini Reasoning
Decision fitCodingGeneral
Context window
Cheapest output--
Provider routes0 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Code Davinci 002 when...
  • Local decision data tags Code Davinci 002 for Coding.
Choose Phi-4 Mini Reasoning when...
  • Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Code Davinci 002

Unavailable

No complete token price in local provider data

Phi-4 Mini Reasoning

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Code Davinci 002 -> Phi-4 Mini Reasoning
  • No overlapping tracked provider route is sourced for Code Davinci 002 and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
  • Phi-4 Mini Reasoning adds Reasoning in local capability data.
Phi-4 Mini Reasoning -> Code Davinci 002
  • No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Code Davinci 002; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.

Specs

Specification
Released2021-08-162026-05-16
Context window
Parameters
Architecturedecoder only-
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeCode Davinci 002Phi-4 Mini Reasoning
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityCode Davinci 002Phi-4 Mini 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 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: Code Davinci 002 has no token price sourced yet and Phi-4 Mini Reasoning has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Code Davinci 002 when coding workflow support are central to the workload. Choose Phi-4 Mini 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

Is Code Davinci 002 or Phi-4 Mini Reasoning open source?

Code Davinci 002 is listed under Proprietary. Phi-4 Mini Reasoning is listed under Proprietary. 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, Code Davinci 002 or Phi-4 Mini Reasoning?

Phi-4 Mini 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.

When should I pick Code Davinci 002 over Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning is safer overall; choose Code Davinci 002 when coding workflow support matters. If your workload also depends on coding workflow support, start with Code Davinci 002; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Reasoning.

What is the main difference between Code Davinci 002 and Phi-4 Mini Reasoning?

Code Davinci 002 and Phi-4 Mini Reasoning differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.

Continue comparing

Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.