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AI / Core OpenAI Codex Application Fundamentals Interview Questions

What are the current recommended models for OpenAI Codex and the API, and when do you choose each?

Model selection in the OpenAI / Codex ecosystem as of mid-2026 centres on the GPT-5.x family. The right choice depends on task complexity, latency requirements, and cost.

Current model recommendations
ModelBest forContext windowKey capability
gpt-5.5API-based code generation and general agentic tasksLargeStrongest for complex coding, reasoning, and professional workflows
gpt-5.4Codex app/CLI default - most tasks1M (experimental)Native computer use, complex tool use, long-horizon tasks
gpt-5.4-miniFaster, lower-cost option for lighter tasks or subagentsStandardSpeed and cost efficiency
gpt-5.3-codexMaximum agentic coding capability, complex real-world SEStandard25% faster than predecessor; strongest coding + reasoning fusion
gpt-5.3-codex-sparkNear-instant coding iteration (research preview, Pro only)128k tokens1000+ tokens/second; text-only at launch; powered by Cerebras
codex-mini-latestCLI optimised, low-latency code Q&AStandardPriced $1.50/1M input, $6/1M output via Responses API

Key guidance:

  • For API-based code generation: start with gpt-5.5
  • For Codex app/CLI most tasks: gpt-5.4 is the default
  • For maximum agentic coding power: gpt-5.3-codex
  • For speed and lower cost: gpt-5.4-mini or codex-mini-latest

Note: gpt-5.2-codex and gpt-5.3-codex (when accessed via ChatGPT sign-in) are deprecated in the Codex surfaces - update references to current models.

Which model is currently recommended for most API-based code generation use cases?
What makes gpt-5.3-codex-spark distinctive among Codex models?

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