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✨ GPT-5.3-Codex-Spark

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Andrew Ambrosino

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29,397 görüntüleme • 3 ay önce •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
0:08

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

Simon Willison

53,005 görüntüleme • 3 ay önce

You can build a coding agent in 20 seconds with gpt-5.3-codex-spark
0:36

You can build a coding agent in 20 seconds with gpt-5.3-codex-spark

Nick

33,052 görüntüleme • 3 ay önce

GPT-5.3-Codex-Spark is now in research preview. You can just build things—faster.
0:47

GPT-5.3-Codex-Spark is now in research preview. You can just build things—faster.

OpenAI

1,522,040 görüntüleme • 3 ay önce

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.
0:55

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.

OpenAI Developers

816,203 görüntüleme • 3 ay önce

> "Hey GPT-5.3-Codex, build a girlfriend simulator." 2 hours later:
0:50

> "Hey GPT-5.3-Codex, build a girlfriend simulator." 2 hours later:

cocktail peanut

24,732 görüntüleme • 3 ay önce

Firecrawl Skill, now in GPT-5.3 Codex 🔥 Give Codex clean, real-time web data for your coding workflows.
0:35

Firecrawl Skill, now in GPT-5.3 Codex 🔥 Give Codex clean, real-time web data for your coding workflows.

Firecrawl

14,005 görüntüleme • 3 ay önce

It’s time for another Counter-Strike benchmark: GPT 5.3 Codex and Claude 4.6 Opus:
0:39

It’s time for another Counter-Strike benchmark: GPT 5.3 Codex and Claude 4.6 Opus:

Instant

18,888 görüntüleme • 3 ay önce

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
3:45

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

Cerebras

23,633 görüntüleme • 2 ay önce

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
0:21

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 görüntüleme • 3 ay önce

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.
0:37

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.

Bud

24,048 görüntüleme • 3 ay önce

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!
0:36

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!

1LittleCoder💻

142,742 görüntüleme • 3 ay önce

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.
3:53

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.

The Startup Ideas Podcast (SIP) 🧃

58,811 görüntüleme • 3 ay önce

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.
0:29

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.

Martin Woodward

65,470 görüntüleme • 3 ay önce

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
0:24

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

Angel 🌼

161,059 görüntüleme • 3 ay önce

Opus 4.6 and Codex 5.3 still make stupid decisions
6:19

Opus 4.6 and Codex 5.3 still make stupid decisions

Mo Bitar

64,727 görüntüleme • 3 ay önce

Warp now supports GPT 5.2 Codex 🙌 We worked closely with the OpenAI team to tune our harness for the Codex series. GPT 5.2 Codex builds upon the strengths of GPT 5.2, excelling at long-horizon tasks (think 15 min+) Try GPT 5.2 codex and tell us what you think
0:20

Warp now supports GPT 5.2 Codex 🙌 We worked closely with the OpenAI team to tune our harness for the Codex series. GPT 5.2 Codex builds upon the strengths of GPT 5.2, excelling at long-horizon tasks (think 15 min+) Try GPT 5.2 codex and tell us what you think

Warp

32,708 görüntüleme • 4 ay önce

Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.
0:44

Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.

Peter Gostev

101,848 görüntüleme • 8 ay önce

pov: when codex 5.3 one shots an entire feature
0:32

pov: when codex 5.3 one shots an entire feature

Om Patel

24,493 görüntüleme • 3 ay önce

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
36:41

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

TBPN

639,180 görüntüleme • 3 ay önce

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.
4:29

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.

am.will

16,916 görüntüleme • 3 ay önce