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title: OpenAI GPT-5.2-Codex (high) vs. Claude Opus 4.5 vs....
description: A hands-on comparison of three leading AI coding models (GPT-5.2-Codex high, Claude Opus 4.5, and Gemini 3 Pro) tested on two real-world coding tasks in an 8K+...
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og:title: OpenAI GPT-5.2-Codex (high) vs. Claude Opus 4.5 vs. Gemini 3 Pro: Real-World Coding comparison | daily.dev
og:description: A hands-on comparison of three leading AI coding models (GPT-5.2-Codex high, Claude Opus 4.5, and Gemini 3 Pro) tested on two real-world coding tasks in an 8K+...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI GPT-5.2-Codex (high) vs. Claude Opus 4.5 vs. Gemini 3 Pro: Real-World Coding comparison

**[Shrijal Acharya](https://daily.dev/sources/jr262d6eor9zowlkswxja)** · [@shricodev](https://daily.dev/shricodev) · 0 upvotes · 0 comments

## Summary

A hands-on comparison of three leading AI coding models (GPT-5.2-Codex high, Claude Opus 4.5, and Gemini 3 Pro) tested on two real-world coding tasks in an 8K+ star repository. Claude Opus 4.5 delivered the most consistent and polished results with fastest completion times but highest cost ($0.94-$1.78). GPT-5.2-Codex high produced excellent code quality with strong architecture but required 20-26 minutes per task due to high reasoning mode. Gemini 3 Pro was most efficient and cost-effective with heavy cache utilization but produced more minimal, less polished implementations. Both tasks involved building complex features: a global action palette with keyboard navigation and a usage analytics dashboard with data persistence.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.tensorlake.ai/blog/gpt5.2-codex-high-vs-opus-4.5-vs-gemini-3-pro>

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---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#claude](https://daily.dev/tags/claude), [#google-gemini](https://daily.dev/tags/google-gemini), [#gpt](https://daily.dev/tags/gpt), [#llm](https://daily.dev/tags/llm)

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