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GPT-4.1 Nano vs GPT-5.2-Codex

A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Quick verdict: which should you choose?

Choose GPT-4.1 Nano if you need

  • Higher intelligence index and faster output speed for demanding tasks
  • Strong coding specialization with seamless text and image integration
  • Very large 400k context window without needing maximum scale

Choose GPT-5.2-Codex if you need

  • Much lower output price at $0.4 per 1M tokens for cost-sensitive use
  • Extremely large context window exceeding 1M tokens for massive inputs
  • Native support for images, text, and files in OpenAI multimodal setup

Verdict

GPT-5.2-Codex leads in intelligence (40.1 vs 7.3) and output speed (145.81 vs 128.53 t/s) with strong coding focus and seamless text-image handling, while GPT-4.1 Nano dominates on price ($0.4 vs $14 per 1M tokens) and context length (1M+ vs 400k tokens) plus broader native file support. Codex suits specialized high-performance multimodal coding tasks; Nano prioritizes efficiency and scale for massive inputs.

GPT-4.1 Nano vs GPT-5.2-Codex: side by side

SpecGPT-4.1 NanoGPT-5.2-CodexWinner
Intelligence7.340.1GPT-5.2-Codex
Output speed129 t/s146 t/sGPT-5.2-Codex
Output price$0.40/1M$14.00/1MGPT-4.1 Nano
Context1048K400KGPT-4.1 Nano
ParamsTie
ProviderOpenAIOpenAITie

Detailed analysis

Intelligence

Winner: GPT-5.2-Codex

GPT-5.2-Codex scores 40.1 on intelligence index compared to GPT-4.1 Nano's 7.3. This gap indicates stronger performance on complex reasoning and coding despite Nano's efficiency focus.

Speed

Winner: GPT-5.2-Codex

GPT-5.2-Codex delivers 145.81 tokens per second versus Nano's 128.53. The higher speed pairs with its intelligence advantage for time-sensitive multimodal workflows.

Pricing

Winner: GPT-4.1 Nano

GPT-4.1 Nano costs $0.4 per million tokens against Codex at $14. This makes Nano far more economical for high-volume or budget-constrained applications.

Context & Modalities

Winner: GPT-4.1 Nano

GPT-4.1 Nano offers over 1M tokens context and native file support alongside images and text. Codex limits to 400k context and text-image only without audio or video.

GPT-4.1 Nano

Pros

  • +Extremely large context window
  • +Native support for images, text, and files
  • +OpenAI multimodal architecture

Cons

  • Nano size may reduce depth on complex tasks
  • Performance trade-offs for efficiency
Full GPT-4.1 Nano review →

GPT-5.2-Codex

Pros

  • +Very large context window for extended inputs
  • +Strong coding specialization
  • +Seamless integration of text and image data

Cons

  • Restricted to text and image modalities
  • High resource demands at maximum context length
  • No native support for audio or video
Full GPT-5.2-Codex review →

Summary: GPT-4.1 Nano vs GPT-5.2-Codex

Select GPT-5.2-Codex when intelligence, coding strength, and speed matter most. Choose GPT-4.1 Nano for lowest cost, largest context, and broadest file-inclusive multimodal handling at scale.

Frequently asked questions

GPT-5.2-Codex is stronger on intelligence and speed while GPT-4.1 Nano wins on price and context size; choice depends on whether performance or efficiency is prioritized.

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