VIDEO
HIGHLIGHT
Log InSign up
Claude Code vs Codex: I Made Them Build the Same App (Fable 5 vs GPT-5.6 Sol)
SummaryTranscriptChat

Claude Code vs Codex: I Made Them Build the Same App (Fable 5 vs GPT-5.6 Sol)

Comparing Claude Codes Fable and Codeex GPT 5.6: A Side-by-Side Experiment

Introduction to the Experiment

  • The speaker highlights a lack of side-by-side experiments comparing Claude Codes Fable and Codeex GPT 5.6, prompting them to conduct their own test.
  • The review aims to provide insights from a builder's perspective, revealing which model offers better value for money based on performance and cost.
  • Both tools are described as AI coding agents that convert plain English descriptions into functional code, with Claude using Anthropic's latest model and Codeex utilizing OpenAI's newest version.

Experiment Setup

  • The experiment involves generating a social media dashboard that analyzes top-performing Instagram reels from selected creators over the last 30 days.
  • A design file was created using Claude Design to ensure both models worked from the same prototype, avoiding discrepancies in design outputs.
  • The prompt used for both models was crafted carefully to maintain consistency, ensuring a fair comparison between their capabilities.

Data Scraping Configuration

  • Since neither model can pull live Instagram data directly, an API called Social Crawl is integrated into both setups for data scraping.
  • Instructions were provided on how to set up Social Crawl quickly by logging in and running installation commands within each AI tool.

Execution of Tasks

Fable Output

  • After initiating the task with Fable, it took approximately 30 minutes to generate the dashboard based on the provided design and prompt files.
  • The output included all requested features such as creator stats, reel analysis, clickable links, and additional insights about reel performance.

Cost Analysis of Fable

  • Building the dashboard with Fable cost $33 and utilized 20% of weekly usage limits while maxing out session usage.

GPT 5.6 Output

  • Following similar steps with GPT 5.6 took around 40 minutes; however, it produced comparable results in terms of layout and functionality.

Cost Analysis of GPT 5.6

  • The total cost for using GPT was approximately $12 while consuming only 2% of weekly usage limits.

Comparative Analysis

Visual Comparison

  • Both dashboards appeared visually similar due to detailed instructions but differed slightly in execution details like profile images scraped (Fable did this; GPT did not).

Performance Insights

  • While both models performed well overall, Fable demonstrated more initiative by analyzing more reels than GPT (19 vs. 10), indicating differences in how they interpret prompts.

Conclusion & Recommendations

Final Thoughts on Models

  • Both models produced high-quality outputs; however, Claude seemed better at taking initiative while Codeex followed instructions effectively without exceeding requirements.

Usage Recommendations

  • For day-to-day coding tasks where budget is a concern or clear directives are available, Codeex is recommended due to its efficiency in resource consumption compared to Fable.
Video description

Claude Code vs Codex: build the same app, same DESIGN.md file, same SocialCrawl skill, and the same one-shot prompt. In this video, I put Claude Code with Fable 5 against Codex with GPT-5.6 xhigh by asking both agents to build the exact same product: an AI-powered Instagram competitor research dashboard. I wanted to see whether these agents could independently build a real product. Timestamp: [00:00] Introduction: Overview of the experiment comparing Claude Code (Fable 5) and Codex (GPT-5.6 Sol). [01:57] The Setup: Defining the task to build a social media dashboard, and preparing the design file and prompts. [05:06] Testing Claude Code: Running the prompt with Fable 5, reviewing the generated dashboard, and analyzing its cost/usage stats. [08:04] Testing Codex: Running the identical prompt with GPT-5.6 Sol, reviewing its dashboard, and analyzing its cost/usage stats. [10:55] Side-by-Side Comparison: Comparing the UI and noticing small differences (e.g., Claude took more initiative on scraping details than Codex). [12:53] Final Stats Breakdown: A direct comparison of time spent, token usage, and total costs ($33 for Fable vs $12 for GPT-5.6). [13:41] Conclusion: Final thoughts Claude Fable 5 was more proactive and paid attention to product details I hadn’t explicitly requested. Codex with GPT-5.6 was significantly more economical, gave me much more usable capacity, and still produced a powerful, functional dashboard. 🚨 UPDATE: Claude Fable 5 access on paid plans has now been extended through July 19, 2026. RESOURCES 📌 Prompt and Design files: https://ridio-io.notion.site/codex-claude-code-files 📌 Scrape social media data from 43 platforms with one API 👉 https://www.socialcrawl.dev/ (Start for FREE) 📌 FOR MORE AI GUIDES 👉 https://www.fridayaiclub.com FOLLOW ME ON SOCIAL Threads: https://www.threads.com/@selenowitz LinkedIn: https://www.linkedin.com/in/selene-seoyun-lee/ X: https://x.com/vaaselene