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✨ GPT-5.3-Codex-Spark

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Andrew Ambrosino

24,095 subscribers

29,397 views • 3 months ago •via X (Twitter)

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The model is faster, the pelican isn't as good! GPT-5.3 Codex Spark on the left, GPT-5.3 Codex 5.3 on the right - both at medium quality settings
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You can build a coding agent in 20 seconds with gpt-5.3-codex-spark
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GPT-5.3-Codex-Spark is now in research preview. You can just build things—faster.
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Introducing GPT-5.3-Codex-Spark, our ultra-fast model purpose built for real-time coding. We’re rolling it out as a research preview for ChatGPT Pro users in the Codex app, Codex CLI, and IDE extension.
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> "Hey GPT-5.3-Codex, build a girlfriend simulator." 2 hours later:
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Firecrawl Skill, now in GPT-5.3 Codex 🔥 Give Codex clean, real-time web data for your coding workflows.
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It’s time for another Counter-Strike benchmark: GPT 5.3 Codex and Claude 4.6 Opus:
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what can you build with gpt-5.3-codex-spark? jason liu from OpenAI demos 3 real workflows — ones you can set up yourself inside the Codex app to help you spend less time on overhead and more time building. 00:09 – what is gpt-5.3-codex-spark? 00:25 – workflow 1: multi-agent daily briefing from slack, drive & meets 01:06 – workflow 2: automated PR review 01:31 – workflow 3: real-time interactive coding 02:56 – what speed changes, and what's coming next
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what can you build with gpt-5.3-codex-spark? jason liu from OpenAI demos 3 real workflows — ones you can set up yourself inside the Codex app to help you spend less time on overhead and more time building. 00:09 – what is gpt-5.3-codex-spark? 00:25 – workflow 1: multi-agent daily briefing from slack, drive & meets 01:06 – workflow 2: automated PR review 01:31 – workflow 3: real-time interactive coding 02:56 – what speed changes, and what's coming next

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Okay this is DEEPLY concerning All my GPT 5.3 Codex requests are routing to GPT 5.2 I ran banteg script through all Codex models and ONLY 5.3 Codex was affected This is really really unacceptable, how can I trust the work done? cc: Tibo / Alexander Embiricos / Romain Huet
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Okay this is DEEPLY concerning All my GPT 5.3 Codex requests are routing to GPT 5.2 I ran banteg script through all Codex models and ONLY 5.3 Codex was affected This is really really unacceptable, how can I trust the work done? cc: Tibo / Alexander Embiricos / Romain Huet

Numman Ali

262,050 views • 3 months ago

Free GPT-5.3-Codex in Orchids! One of the best coding models in the world right now. > Connect your ChatGPT subscription. > Select GPT-5.3-Codex. > Done, no Orchids credits will be consumed. The best way to build any app at orchids [dot] app.
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Free GPT-5.3-Codex in Orchids! One of the best coding models in the world right now. > Connect your ChatGPT subscription. > Select GPT-5.3-Codex. > Done, no Orchids credits will be consumed. The best way to build any app at orchids [dot] app.

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24,048 views • 3 months ago

Claude Sonnet 4.6 vs GPT 5.3 Codex Same Prompt in Cursor (Neutral Harness) - Default Settings! GPT 5.3 Codex took - 2 mins Claude Sonnet 4.6 - 7 mins Cheaper than Sonnet 4.6! Faster than Sonnet 4.6! But I'm not sure if it's more craftier than Sonnet 4.6 because Sonnet's got a taste! Claude Sonnet 4.6 had a better result (aesthetically) and also more solid techstack - GPT 5.3 codes meanwhile just got the job done!
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142,742 views • 3 months ago

Claude Opus 4.6 vs GPT-5.3 Codex aren't just different models. They're different engineers. Opus 4.6: → 1M token context window → Reads the whole codebase before deciding → Asks "should we do this?" → Failure mode: overanalyzes, hesitates GPT-5.3 Codex: → 200K tokens, built for speed → Decides fast, acts, iterates → Asks "how fast can I ship this?" → Failure mode: locks in a flawed assumption early Think: Opus = your architect Codex = your operator Pick the one that matches the task.
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Claude Opus 4.6 vs GPT-5.3 Codex aren't just different models. They're different engineers. Opus 4.6: → 1M token context window → Reads the whole codebase before deciding → Asks "should we do this?" → Failure mode: overanalyzes, hesitates GPT-5.3 Codex: → 200K tokens, built for speed → Decides fast, acts, iterates → Asks "how fast can I ship this?" → Failure mode: locks in a flawed assumption early Think: Opus = your architect Codex = your operator Pick the one that matches the task.

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What's better than Claude Opus 4.6 or GPT 5.3 Codex? Running them all, in parallel, with a single GitHub Copilot subscription. And all of this shipped just this week.
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GPT-5.3-Codex made this game using Nano Banana Pro for the assets, all on its own I only told it to redo the assets because they were incorrectly sliced
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Opus 4.6 and Codex 5.3 still make stupid decisions
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Opus 4.6 and Codex 5.3 still make stupid decisions

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pov: when codex 5.3 one shots an entire feature
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pov: when codex 5.3 one shots an entire feature

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I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.

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FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads
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