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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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18,944 次观看 • 6 个月前 •via X (Twitter)

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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!

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💻

142,846 次观看 • 6 个月前

Opus 4.6 and Codex 5.3 still make stupid decisions

Opus 4.6 and Codex 5.3 still make stupid decisions

Mo

65,433 次观看 • 6 个月前

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.

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

65,575 次观看 • 6 个月前

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.

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) 🧃

59,604 次观看 • 6 个月前

Opus 4.6 and Codex 5.3 just launched, so I did a hexagon test on both of them Opus 4.6 - 1M context - great for research + enterprise work - agent teams + long-range reasoning - weaker on raw code benchmarks Codex 5.3 - wins coding benchmarks - faster + mid-task steering - smaller context window TLDR: Opus = depth + orchestration Codex = speed + code

Opus 4.6 and Codex 5.3 just launched, so I did a hexagon test on both of them Opus 4.6 - 1M context - great for research + enterprise work - agent teams + long-range reasoning - weaker on raw code benchmarks Codex 5.3 - wins coding benchmarks - faster + mid-task steering - smaller context window TLDR: Opus = depth + orchestration Codex = speed + code

Abhinav

447,873 次观看 • 6 个月前

gpt 5.3 (left) vs opus 4.6 (right) - which one is better? full prompt below

gpt 5.3 (left) vs opus 4.6 (right) - which one is better? full prompt below

Sughu

11,338 次观看 • 6 个月前

GPT-5.3 Codex is actually pretty insane with Three.js This Minecraft clone works smoothly and it didn't take too long to make I also tried Opus 4.6, but for some reason it got stuck

GPT-5.3 Codex is actually pretty insane with Three.js This Minecraft clone works smoothly and it didn't take too long to make I also tried Opus 4.6, but for some reason it got stuck

Angel 🌼

1,127,915 次观看 • 6 个月前

Stop saying that Opus 4.6 is better than Opus 4.8. I just tested Claude Opus 4.8 (Right) and Claude Opus 4.6 (Left) on the same exact prompt. Claude Opus 4.8 completed it in less than 2 minutes. Claude Opus 4.6 "Garnished" for over 7 minutes. Stop using Opus 4.6.

Stop saying that Opus 4.6 is better than Opus 4.8. I just tested Claude Opus 4.8 (Right) and Claude Opus 4.6 (Left) on the same exact prompt. Claude Opus 4.8 completed it in less than 2 minutes. Claude Opus 4.6 "Garnished" for over 7 minutes. Stop using Opus 4.6.

BridgeMind

53,313 次观看 • 2 个月前

Another one Gemini 3.1 Pro (High) and Claude Opus 4.6 in Antigravity plan - Opus 4.6, code - 3.1 Pro It took < 1 hour to vibecode

Another one Gemini 3.1 Pro (High) and Claude Opus 4.6 in Antigravity plan - Opus 4.6, code - 3.1 Pro It took < 1 hour to vibecode

Harshith

46,850 次观看 • 4 个月前

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

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

Firecrawl

14,021 次观看 • 6 个月前

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Chong-U

47,264 次观看 • 5 个月前

Claude Opus 4.6 works so well. I asked for for a Palantir alternative to view conflicts around the world using Claude Opus 4.6 on Capacity Took 15 minutes and 3 prompts.

Claude Opus 4.6 works so well. I asked for for a Palantir alternative to view conflicts around the world using Claude Opus 4.6 on Capacity Took 15 minutes and 3 prompts.

Samuel Rondot

487,187 次观看 • 6 个月前

Clone a functional Billion $$ SAAS Part 2 - Figma. Now that Claude Opus 4.6 and Codex 5.3 are available, I decided to try this again. The result - CanvasKit Tools used - Windsurf (retired) Cascade & OpenAI Codex CLI First agent run - 30 minutes Total time spent w/ extra prompting - 3 hours I think this could be a new metric for model evaluations - TTBS (time to billion $$ SAAS 😂) Code and details below:

Clone a functional Billion $$ SAAS Part 2 - Figma. Now that Claude Opus 4.6 and Codex 5.3 are available, I decided to try this again. The result - CanvasKit Tools used - Windsurf (retired) Cascade & OpenAI Codex CLI First agent run - 30 minutes Total time spent w/ extra prompting - 3 hours I think this could be a new metric for model evaluations - TTBS (time to billion $$ SAAS 😂) Code and details below:

nader dabit

30,244 次观看 • 6 个月前

A behind the scenes look at the level editor: → 1. Set player spawn → 2. Set NPC locations → 3. Adjust navmesh Allows for very quickly integrating new assets into the game. Everything vibe coded... → GPT 5.3 Codex → Opus 4.6 (always use both) You can just make things.

A behind the scenes look at the level editor: → 1. Set player spawn → 2. Set NPC locations → 3. Adjust navmesh Allows for very quickly integrating new assets into the game. Everything vibe coded... → GPT 5.3 Codex → Opus 4.6 (always use both) You can just make things.

Chong-U

16,579 次观看 • 6 个月前

Guys, stop underestimating the harness. GPT-5.6 Sol through Claude Code vs Codex produced a GIGANTIC difference in my benchmark. But Opus 5 is the real innovation: High, xHigh, and Max don’t just feel like different thinking levels—they feel like COMPLETELY DIFFERENT MODELS. It’s basically like getting three or four Opus models in one.

Guys, stop underestimating the harness. GPT-5.6 Sol through Claude Code vs Codex produced a GIGANTIC difference in my benchmark. But Opus 5 is the real innovation: High, xHigh, and Max don’t just feel like different thinking levels—they feel like COMPLETELY DIFFERENT MODELS. It’s basically like getting three or four Opus models in one.

OmedTheVibeCoder

36,009 次观看 • 27 天前

How it feels to give a task to Opus 4.6 and Codex 5.3 in parallel to see which one can better blast through 3 months of human work in 5 mins

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Beff (e/acc)

28,349 次观看 • 6 个月前

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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OpenAI Developers

821,866 次观看 • 6 个月前

🇵🇱 Dzisiaj stworzyłem Claude Code Math Prover (13-minutowy film pokazuje jak to działa). Claude Code Opus 4.6 orkiestruje cały przepływ pracy. Deleguje podzadania do różnych agentów: - OpenAI Codex 5.3 (badacz, rozwiązuje, recenzent) - jak widać można używać równolegle i Codex'a i Claude Code. - Claude Code (planista, rozwiązuje). - Wykorzystuje MCP poprzez lean-lsp-mcp dowodzenie twierdzeń za pomocą Lean. Używam Team Agents z tmux do pokazania jak Claude Code deleguje zadania do Codex i do siebie ale do subagentów. SKILL - codex - napisałem skilla do orkiestracji Codex'a -------------------- 🇬🇧Claude Code Math Prover (13-minute video) I made today. Claude Code Opus 4.6 orchestrates the workflow. It delegates subtasks to different agents: - OpenAI Codex 5.3 (researcher, solver, reviewer) - so we can use both solution Codex ad Claude Code - Claude Code (planner, solver). - It uses MCP via lean-lsp-mcp, which enables agentic interaction with the Lean theorem prover. I use Claude Code team agents for this task so you can see how Claude Code delegate all task. SKILL - I wrote skill for codex orchestration

🇵🇱 Dzisiaj stworzyłem Claude Code Math Prover (13-minutowy film pokazuje jak to działa). Claude Code Opus 4.6 orkiestruje cały przepływ pracy. Deleguje podzadania do różnych agentów: - OpenAI Codex 5.3 (badacz, rozwiązuje, recenzent) - jak widać można używać równolegle i Codex'a i Claude Code. - Claude Code (planista, rozwiązuje). - Wykorzystuje MCP poprzez lean-lsp-mcp dowodzenie twierdzeń za pomocą Lean. Używam Team Agents z tmux do pokazania jak Claude Code deleguje zadania do Codex i do siebie ale do subagentów. SKILL - codex - napisałem skilla do orkiestracji Codex'a -------------------- 🇬🇧Claude Code Math Prover (13-minute video) I made today. Claude Code Opus 4.6 orchestrates the workflow. It delegates subtasks to different agents: - OpenAI Codex 5.3 (researcher, solver, reviewer) - so we can use both solution Codex ad Claude Code - Claude Code (planner, solver). - It uses MCP via lean-lsp-mcp, which enables agentic interaction with the Lean theorem prover. I use Claude Code team agents for this task so you can see how Claude Code delegate all task. SKILL - I wrote skill for codex orchestration

Remek Kinas

46,691 次观看 • 6 个月前

Selamlar Dostlar, dün GPT 5.4 yayınlandı ve birçok yüksek benchmark metriğiyle geldi. Bende Cursor'da GPT 5.4-High'ı ve Opus 4.6 High'ı kıyasladım. Detaylı prompt'u yorumlara ekleyeceğim. Gördüğüm en önemli GPT 5.4 coding skills değişiklikleri; - Kodu yazarken oldukça sistematik ilerliyor. Planlamaya otomatik geçiriyor. - Tekte doğru kodu yazma yine sıkıntılı 5.3'de olduğu gibi. Ama bunun önüne test ortamı implementasyonu ile geçmişler. Model kodu yazarken sık sık ek kontroller yapıp kodu düzenliyor. Ama bu fazla token yakmaya neden olabilir! - Python'da otomatik venv ortamı kurup orada işlemlerini yapıp çalıştırıyor. Sonuçlar ve Gemini Pro'nun Analizleri; - Hız: Opus 4.6-High 12:32 dakika'da, GPT 5.4-High 12:40 dakika'da tamamladı. - Toplam Satır: GPT: 1497 vs Opus: 1270 - Class Sayısı: GPT: 14 vs Opus: 13 - Çözünürlük: GPT: 1600×900 vs Opus: 800×600 - FPS: GPT: 120 vs Opus: 60 - Görsel Kalite: GPT: 9.2 / 10 vs Opus: 6.5 / 10 - Ses / Audio: GPT: 8.5 / 10 vs Opus: 7.8 / 10 - Kod Kalitesi: GPT: 9.0 / 10 vs Opus: 7.5 / 10 - Feature Tamamlanma: GPT: 9.5 / 10 vs Opus: 8.0 / 10 - Mimari / Tasarım: GPT: 9.0 / 10 vs Opus: 7.0 / 10

Selamlar Dostlar, dün GPT 5.4 yayınlandı ve birçok yüksek benchmark metriğiyle geldi. Bende Cursor'da GPT 5.4-High'ı ve Opus 4.6 High'ı kıyasladım. Detaylı prompt'u yorumlara ekleyeceğim. Gördüğüm en önemli GPT 5.4 coding skills değişiklikleri; - Kodu yazarken oldukça sistematik ilerliyor. Planlamaya otomatik geçiriyor. - Tekte doğru kodu yazma yine sıkıntılı 5.3'de olduğu gibi. Ama bunun önüne test ortamı implementasyonu ile geçmişler. Model kodu yazarken sık sık ek kontroller yapıp kodu düzenliyor. Ama bu fazla token yakmaya neden olabilir! - Python'da otomatik venv ortamı kurup orada işlemlerini yapıp çalıştırıyor. Sonuçlar ve Gemini Pro'nun Analizleri; - Hız: Opus 4.6-High 12:32 dakika'da, GPT 5.4-High 12:40 dakika'da tamamladı. - Toplam Satır: GPT: 1497 vs Opus: 1270 - Class Sayısı: GPT: 14 vs Opus: 13 - Çözünürlük: GPT: 1600×900 vs Opus: 800×600 - FPS: GPT: 120 vs Opus: 60 - Görsel Kalite: GPT: 9.2 / 10 vs Opus: 6.5 / 10 - Ses / Audio: GPT: 8.5 / 10 vs Opus: 7.8 / 10 - Kod Kalitesi: GPT: 9.0 / 10 vs Opus: 7.5 / 10 - Feature Tamamlanma: GPT: 9.5 / 10 vs Opus: 8.0 / 10 - Mimari / Tasarım: GPT: 9.0 / 10 vs Opus: 7.0 / 10

Alican Kiraz

29,434 次观看 • 5 个月前

I've solved this. timing: - agent time: 2m54s (API Streaming + Tool Time = Agent Time) - total time: 5m12s (includes TTFT/Compactions) - able to achieve these times because it can 1 shot almost all steps until it reaches step 30. agent cost: - $2.0516 took 35 dev hours: - building/testing/improving tools - identifying waste - correcting behaviors notes: - not a script using a predetermined path - no tools use predetermined paths to navigate the challenge - no overfit instructions - /start-challenge will be in the comments - does not exploit session storage to get codes models tested: - gemini 3 flash - opus 4.5 - opus 4.6 - codex 5.3 - gpt-oss-120b - kimi k2.5 - grok 4.1 final stack: - opus-4.6 - claude agent sdk & claude code - gemini-3-flash Brett Adcock are you still taking submissions?

I've solved this. timing: - agent time: 2m54s (API Streaming + Tool Time = Agent Time) - total time: 5m12s (includes TTFT/Compactions) - able to achieve these times because it can 1 shot almost all steps until it reaches step 30. agent cost: - $2.0516 took 35 dev hours: - building/testing/improving tools - identifying waste - correcting behaviors notes: - not a script using a predetermined path - no tools use predetermined paths to navigate the challenge - no overfit instructions - /start-challenge will be in the comments - does not exploit session storage to get codes models tested: - gemini 3 flash - opus 4.5 - opus 4.6 - codex 5.3 - gpt-oss-120b - kimi k2.5 - grok 4.1 final stack: - opus-4.6 - claude agent sdk & claude code - gemini-3-flash Brett Adcock are you still taking submissions?

brian

111,803 次观看 • 6 个月前