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GPT-5.3-Codex vs Phi-4 Mini Reasoning

GPT-5.3-Codex (2026) and Phi-4 Mini Reasoning (2026) are agentic coding models from OpenAI and Microsoft Research. GPT-5.3-Codex ships a 400K-token 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 GPT-5.3-Codex when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGPT-5.3-CodexPhi-4 Mini Reasoning
Decision fitCoding, RAG, and AgentsGeneral
Context window400K
Cheapest output$14/1M tokens-
Provider routes2 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-5.3-Codex when...
  • GPT-5.3-Codex has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.3-Codex has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-5.3-Codex uniquely exposes Vision, Function calling, and Tool use in local model data.
  • Local decision data tags GPT-5.3-Codex for Coding, RAG, and Agents.
Choose Phi-4 Mini Reasoning when...
  • Use Phi-4 Mini Reasoning when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

GPT-5.3-Codex

$4,900

Cheapest tracked route: OpenRouter

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

GPT-5.3-Codex -> Phi-4 Mini Reasoning
  • No overlapping tracked provider route is sourced for GPT-5.3-Codex and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
Phi-4 Mini Reasoning -> GPT-5.3-Codex
  • No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and GPT-5.3-Codex; plan for SDK, billing, or endpoint changes.
  • GPT-5.3-Codex adds Vision, Function calling, and Tool use in local capability data.

Specs

Specification
Released2026-02-052026-05-16
Context window400K
Parameters
Architecturedecoder only-
LicenseProprietaryProprietary
Knowledge cutoff2025-08-

Pricing and availability

Pricing attributeGPT-5.3-CodexPhi-4 Mini Reasoning
Input price$1.75/1M tokens-
Output price$14/1M tokens-
Providers-

Capabilities

CapabilityGPT-5.3-CodexPhi-4 Mini Reasoning
VisionYesNo
MultimodalNoNo
ReasoningYesYes
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GPT-5.3-Codex, function calling: GPT-5.3-Codex, tool use: GPT-5.3-Codex, structured outputs: GPT-5.3-Codex, and code execution: GPT-5.3-Codex. Both models share reasoning mode, 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: GPT-5.3-Codex has $1.75/1M input tokens and Phi-4 Mini Reasoning has no token price sourced yet. Provider availability is 2 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-5.3-Codex when coding workflow support and broader provider choice are central to the workload. Choose Phi-4 Mini Reasoning when provider fit 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 GPT-5.3-Codex or Phi-4 Mini Reasoning open source?

GPT-5.3-Codex 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 vision, GPT-5.3-Codex or Phi-4 Mini Reasoning?

GPT-5.3-Codex has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for reasoning mode, GPT-5.3-Codex or Phi-4 Mini Reasoning?

Both GPT-5.3-Codex and Phi-4 Mini Reasoning expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for function calling, GPT-5.3-Codex or Phi-4 Mini Reasoning?

GPT-5.3-Codex has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, GPT-5.3-Codex or Phi-4 Mini Reasoning?

GPT-5.3-Codex has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-5.3-Codex and Phi-4 Mini Reasoning?

GPT-5.3-Codex is available on OpenRouter and OpenAI API. Phi-4 Mini Reasoning is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

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