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GPT-5.2 Codex vs GPT-4.1

Compare pricing, context windows, and strengths for GPT-5.2 Codex by OpenAI and GPT-4.1 by OpenAI - and see how to put either to work in Appaca.

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GPT-5.2 Codex

Highly capable coding model optimized for long-horizon, agentic coding tasks with configurable reasoning and strong codebase awareness.

View GPT-5.2 Codex
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GPT-4.1

A highly capable non-reasoning model that excels at instruction following, tool calling, and broad domain knowledge with a 1M-token context window.

View GPT-4.1

GPT-5.2 Codex vs GPT-4.1 at a glance

Specs and pricing side by side, from the Appaca AI models directory.

Spec GPT-5.2 Codex GPT-4.1
Provider OpenAI OpenAI
Model type Text Text
Context window 400K tokens 1.05M tokens
Input price $1.75 / 1M tokens $2 / 1M tokens
Output price $14 / 1M tokens $8 / 1M tokens
Status Superseded by GPT-5.3 Codex Superseded by GPT-5.1
Key differences

How GPT-5.2 Codex and GPT-4.1 differ

What the numbers mean in practice when choosing between GPT-5.2 Codex and GPT-4.1.

  • GPT-5.2 Codex is 13% cheaper on input tokens ($1.75 vs $2 per million), which adds up quickly in document-heavy workloads.

  • GPT-4.1 is 43% cheaper on output tokens ($8 vs $14 per million) - the bigger factor for tools that generate long documents.

  • GPT-4.1's 1.05M tokens context window is roughly 2.6x larger than GPT-5.2 Codex's 400K tokens, so it can work across bigger codebases, contracts, or archives in one pass.

  • GPT-5.2 Codex has been superseded by GPT-5.3 Codex - for new builds, consider the newer model first.

  • GPT-4.1 has been superseded by GPT-5.1 - for new builds, consider the newer model first.

Strengths side by side

Where each model shines, according to benchmarks and provider positioning.

GPT-5.2 Codex

1. Optimized for Long-Horizon Coding Tasks

  • OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
  • Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.

2. Adjustable Reasoning for Coding Work

  • Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
  • Accepts both text and image inputs while producing text output.

3. Large Context + Long Output

  • 400 k token context window supports broad repository understanding and larger working sets.
  • Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.

4. Up-to-Date Model Snapshot

  • Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
  • Supports streaming, function calling, and structured outputs for tool-driven coding workflows.

GPT-4.1

1. Smartest non-reasoning model

  • Highest intelligence among models without a reasoning step.
  • Great for tasks where speed + accuracy matter without deep chain-of-thought.

2. Excellent instruction following

  • Very strong at structured tasks, formatting, and precise execution.
  • Ideal for productized workflows and deterministic outputs.

3. Reliable tool calling

  • Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
  • Supports MCP and advanced tool-enabled API flows.

4. Large 1M-token context window

  • Allows extremely long conversations, large documents, and multi-file use cases.
  • Handles context-heavy tasks without requiring chunking.

5. Low latency (no reasoning step)

  • Faster responses than GPT-5 family when reasoning mode isn't required.
  • More predictable timing for production use.

6. Multimodal input

  • Accepts text + image.
  • Output is text only.

7. Supports fine-tuning

  • Can be fine-tuned for specialized tasks.
  • Also supports distillation for smaller custom models.
Appaca

Use GPT-5.2 Codex or GPT-4.1 - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.2 Codex or GPT-4.1 - connected to your real data and ready for your whole team. No code, no deployment.

Describe it, and it's built

Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-5.2 Codex or GPT-4.1. No code, no API keys, no deployment.

Switch models without rebuilding

Start on GPT-5.2 Codex, test the same tool on GPT-4.1, and keep whichever performs better - the rest of your app stays exactly as it is.

Automated for the whole team

Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.

Describe it, and it's built

Tell the Appaca agent what your team needs and it builds a working app powered by GPT-5.2 Codex or GPT-4.1 - connected to the tools you already use.

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FAQs

Is GPT-5.2 Codex cheaper than GPT-4.1?

GPT-4.1 is generally cheaper: $2 input / $8 output per million tokens, versus $1.75 / $14 for GPT-5.2 Codex. Actual cost depends on how many tokens your workload reads and writes.

Which has the larger context window, GPT-5.2 Codex or GPT-4.1?

GPT-4.1 has the larger context window at 1.05M tokens, compared to 400K tokens for GPT-5.2 Codex. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.

Should I use GPT-5.2 Codex or GPT-4.1?

It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-5.2 Codex, test the same tool on GPT-4.1, and switch at any time without rebuilding anything.

Can I use GPT-5.2 Codex and GPT-4.1 without writing code?

Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-5.2 Codex, GPT-4.1, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.

Build AI tools with GPT-5.2 Codex or GPT-4.1

Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.