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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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Instant

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18,940 просмотров • 6 месяцев назад •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!
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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!

1LittleCoder💻

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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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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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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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65,575 просмотров • 5 месяцев назад

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.

The Startup Ideas Podcast (SIP) 🧃

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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
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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 просмотров • 6 месяцев назад

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

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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
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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
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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

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Samuel Rondot

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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:

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🇵🇱 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

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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

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