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Introducing WarpGrep v2. #1 on SWE-Bench Pro What if code search was a separate, specialized model? w/ WarpGrep v2: #1 on SWE-Bench Pro Opus 4.6 → 57.5 (+2.1) Codex 5.3 (cli) → 59.1 (+3.1) MiniMax 2.5 → 57.6 (+3.7) without WarpGrep: Opus 4.6 (high) → 55.4 GPT-5.3 Codex (high)... show more

Morph

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56,540 görüntüleme • 3 ay önce •via X (Twitter)

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One prompt. 6 frontier coding models. "Create a realistic fireworks show using HTML Canvas and JavaScript. No libraries." Some built a whole celebration. Others... lit a sparkler. The lineup: - GPT-5.3 Codex - Claude Opus 4.6 - Gemini 3.1 Pro - MiniMax M2.7 - GLM-5 - Kimi K2.5

One prompt. 6 frontier coding models. "Create a realistic fireworks show using HTML Canvas and JavaScript. No libraries." Some built a whole celebration. Others... lit a sparkler. The lineup: - GPT-5.3 Codex - Claude Opus 4.6 - Gemini 3.1 Pro - MiniMax M2.7 - GLM-5 - Kimi K2.5

stevibe

14,152 görüntüleme • 3 ay önce

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

Tibor Blaho

29,794 görüntüleme • 4 ay önce

Eulerian Fluid simulation test! Zero-shot! Opus 4.6 vs GPT-5.3 vs Gemini 3 Deep Think! My personal preference: 🥇 Gemini 3 Deep Think (really strong!) 🥈 Opus 4.6 🥉 GPT 5.3 High

Eulerian Fluid simulation test! Zero-shot! Opus 4.6 vs GPT-5.3 vs Gemini 3 Deep Think! My personal preference: 🥇 Gemini 3 Deep Think (really strong!) 🥈 Opus 4.6 🥉 GPT 5.3 High

Ivan Fioravanti ᯅ

38,277 görüntüleme • 4 ay önce

I don't even need to mention which landing page was created by Opus 4.6 and which one by GPT-5.3-CODEX

I don't even need to mention which landing page was created by Opus 4.6 and which one by GPT-5.3-CODEX

Karan

90,021 görüntüleme • 4 ay önce

It's Christmas morning: OpenAI and Anthropic shipped new models on the same day! We tested GPT 5.3 Codex vs. Opus 4.6 head-to-head. Verdict: the models are converging. Here’s what we found 🧵

It's Christmas morning: OpenAI and Anthropic shipped new models on the same day! We tested GPT 5.3 Codex vs. Opus 4.6 head-to-head. Verdict: the models are converging. Here’s what we found 🧵

Every 📧

11,945 görüntüleme • 4 ay önce

Choosing a model for your project isn't always easy, so our benchmark evaluates LLMs against actual Android development problems. Current top scores on Android Bench: 🔹 Gemini 3.1 Pro Preview 🔹 Claude 4.6 🔹 GPT 5.2 Codex Full leaderboard →

Choosing a model for your project isn't always easy, so our benchmark evaluates LLMs against actual Android development problems. Current top scores on Android Bench: 🔹 Gemini 3.1 Pro Preview 🔹 Claude 4.6 🔹 GPT 5.2 Codex Full leaderboard →

Android Developers

10,104 görüntüleme • 2 ay önce

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

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

57,440 görüntüleme • 4 ay önce

🐐 Gemini 3 Pro GA One shot prompt is in comment with the codepen link I repeat no model in this entire world able to implement this level of physics and spatial reasoning Not even Opus 4.6 and Gpt-5.3 codex , this is like a generation gap Sub Woofer submitted this

🐐 Gemini 3 Pro GA One shot prompt is in comment with the codepen link I repeat no model in this entire world able to implement this level of physics and spatial reasoning Not even Opus 4.6 and Gpt-5.3 codex , this is like a generation gap Sub Woofer submitted this

Chetaslua

35,579 görüntüleme • 4 ay önce

Just shipped v2 of my flight sim inspired by @levelsio! You can now fly anywhere on Earth: - NY - Hong Kong - Rio - Your hometown - Literally anywhere Speedran this in ~1hr using Opus 4.6 and GPT-5.3 since they both shipped today!

Just shipped v2 of my flight sim inspired by @levelsio! You can now fly anywhere on Earth: - NY - Hong Kong - Rio - Your hometown - Literally anywhere Speedran this in ~1hr using Opus 4.6 and GPT-5.3 since they both shipped today!

Alistair McLeay

1,084,977 görüntüleme • 4 ay önce

MiniMax just dropped M2.5 and it's on par with Opus 4.6 while being 20x cheaper and 3x faster???

MiniMax just dropped M2.5 and it's on par with Opus 4.6 while being 20x cheaper and 3x faster???

shydev

442,571 görüntüleme • 4 ay önce

What's a game without a menu? I went with Opus 4.6 for this one (better taste for frontend UI than Codex 5.3). Also going with 'Zombies Per Minute' right now for name:) Curious to know what you think? Next up: leaderboards

What's a game without a menu? I went with Opus 4.6 for this one (better taste for frontend UI than Codex 5.3). Also going with 'Zombies Per Minute' right now for name:) Curious to know what you think? Next up: leaderboards

Nicolas Zullo

71,474 görüntüleme • 4 ay önce

MiniMax M3: Opus-level coding at DeepSeek pricing. On Terminal-Bench 2.1, it scores 66.0, only 0.1 behind Opus 4.7. I gave it a quick try on a few frontend tasks, and the output quality genuinely feels close to Opus 4.7.

MiniMax M3: Opus-level coding at DeepSeek pricing. On Terminal-Bench 2.1, it scores 66.0, only 0.1 behind Opus 4.7. I gave it a quick try on a few frontend tasks, and the output quality genuinely feels close to Opus 4.7.

Kai

25,697 görüntüleme • 26 gün önce

Ok... this is going further than I expected. Ended up vibe coding a FULL point and click level editor: > Full 3d space + navigation > Place hotspots anywhere > Transform, scale, rotate objects > Set interaction dialogs Opus 4.6 FAST + Codex 5.3 + Nano Banana Pro + Seedance

Ok... this is going further than I expected. Ended up vibe coding a FULL point and click level editor: > Full 3d space + navigation > Place hotspots anywhere > Transform, scale, rotate objects > Set interaction dialogs Opus 4.6 FAST + Codex 5.3 + Nano Banana Pro + Seedance

Chong-U

36,184 görüntüleme • 4 ay önce

MiniMax M2.7 is live on Runware on Day0! 🚀 - full end-to-end project delivery - self-evolving architecture: 30% performance gains across 100+ iterations - 97% skill adherence rate across 40+ complex tasks - 56.22% on SWE-Pro, 55.6% on VIBE-Pro, 57.0% on Terminal Bench 2

MiniMax M2.7 is live on Runware on Day0! 🚀 - full end-to-end project delivery - self-evolving architecture: 30% performance gains across 100+ iterations - 97% skill adherence rate across 40+ complex tasks - 56.22% on SWE-Pro, 55.6% on VIBE-Pro, 57.0% on Terminal Bench 2

Runware

38,628 görüntüleme • 3 ay önce

GPT-5.3-Codex built this Hytale mod with just a few prompts 👀

GPT-5.3-Codex built this Hytale mod with just a few prompts 👀

Hytale Alerts

151,770 görüntüleme • 4 ay önce

GPT-5.3-Codex with image gen skill (NBP) I'm loving this model so much. This is one-shot

GPT-5.3-Codex with image gen skill (NBP) I'm loving this model so much. This is one-shot

Angel 🌼

305,914 görüntüleme • 4 ay önce

Midjourney x Veo 3.1 x Claude Claude Opus 4.6 is the Goat.

Midjourney x Veo 3.1 x Claude Claude Opus 4.6 is the Goat.

Viktor Oddy

14,544 görüntüleme • 2 ay önce

ウチにもGPT-5.3-Codex-Spark来たので録画したらこれ。。早すぎて表示処理が追いついてない。笑 1000Token/秒は、Windsurfのswe-1.5(最大950Token/秒)と同じくらい、CurrsorのComposer1.5(250Token/秒)の4倍早い👀 そして賢さはxhighモードで動かせば、 GPT-5.3-CodexのlowモードくらいのSWE-Bench 51%くらいで普通のコーディングは難なくこなすレベル。難しいタスクはcodex, 通常のタスクはSpark使えばかなり効率いいですね🎵 今後はサブエージェント化する予定なので要注目です👀 いや〜それにしても早くて賢い✨ ・Introducing GPT-5.3-Codex-Spark | OpenAI URL: #codex

ウチにもGPT-5.3-Codex-Spark来たので録画したらこれ。。早すぎて表示処理が追いついてない。笑 1000Token/秒は、Windsurfのswe-1.5(最大950Token/秒)と同じくらい、CurrsorのComposer1.5(250Token/秒)の4倍早い👀 そして賢さはxhighモードで動かせば、 GPT-5.3-CodexのlowモードくらいのSWE-Bench 51%くらいで普通のコーディングは難なくこなすレベル。難しいタスクはcodex, 通常のタスクはSpark使えばかなり効率いいですね🎵 今後はサブエージェント化する予定なので要注目です👀 いや〜それにしても早くて賢い✨ ・Introducing GPT-5.3-Codex-Spark | OpenAI URL: #codex

あきらパパ【生成AI活用エンジニア&３児のパパ】

71,151 görüntüleme • 4 ay önce

MiniMax M2.5 is benchmaxed. I gave 4 models the same prompt: Create a neon "OPEN" sign in HTML. GLM 5: Clean, classic neon. Nailed it. Claude Opus 4.6: Stylized with glow. Solid. Gemini 3 Pro: Cursive with bloom lighting. Creative. MiniMax M2.5: Spelled it "O b∈ N" with broken spacing. This model ranks #2 on BridgeBench with a 59.7 score and 100% completion rate. But it can't spell a 4-letter word. Benchmarks don't tell the whole story. A model can ace structured tasks and fail basic creative prompts. High score ≠ production ready.

MiniMax M2.5 is benchmaxed. I gave 4 models the same prompt: Create a neon "OPEN" sign in HTML. GLM 5: Clean, classic neon. Nailed it. Claude Opus 4.6: Stylized with glow. Solid. Gemini 3 Pro: Cursive with bloom lighting. Creative. MiniMax M2.5: Spelled it "O b∈ N" with broken spacing. This model ranks #2 on BridgeBench with a 59.7 score and 100% completion rate. But it can't spell a 4-letter word. Benchmarks don't tell the whole story. A model can ace structured tasks and fail basic creative prompts. High score ≠ production ready.

BridgeMind

54,212 görüntüleme • 4 ay önce

GPT-5.3-Codex + Image-to-3D Skill Just generated a cute avatar for Sam Altman

Hyper3D by Deemos

80,329 görüntüleme • 4 ay önce