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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... show more

OmedTheVibeCoder

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35,970 views • 13 days ago •via X (Twitter)

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After a lot of tests: NO, Luna is nice ON THE benchmark but an absolute shit in terms of design experience Looks like GPT 5.5 basically And at the end, Luna xhigh is MORE expensive than GPT 5.6 Sol medium So, completely useless model

After a lot of tests: NO, Luna is nice ON THE benchmark but an absolute shit in terms of design experience Looks like GPT 5.5 basically And at the end, Luna xhigh is MORE expensive than GPT 5.6 Sol medium So, completely useless model

Melvyn • Builder

79,048 views • 25 days 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.

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 views • 5 months ago

Two frontier models. Two very different demos. (GPT-5.6 Sol and Claude Fable 5) GPT-5.6 Sol Ultra was pushed in a mathematical direction and generated a Minecraft-style clone in Lean. Yes, that Lean. Meanwhile, Claude Fable 5 took a game development route and built a Minecraft mod featuring a Dark Souls-inspired enemy with multiple attack patterns, combos, and combat logic. They're solving completely different problems, but both are great examples of how capable today's models have become. The pace of progress is remarkable.

Two frontier models. Two very different demos. (GPT-5.6 Sol and Claude Fable 5) GPT-5.6 Sol Ultra was pushed in a mathematical direction and generated a Minecraft-style clone in Lean. Yes, that Lean. Meanwhile, Claude Fable 5 took a game development route and built a Minecraft mod featuring a Dark Souls-inspired enemy with multiple attack patterns, combos, and combat logic. They're solving completely different problems, but both are great examples of how capable today's models have become. The pace of progress is remarkable.

FHILY👑

19,336 views • 26 days ago

DeepSeek V4 Flash completely failed this test. Compared to Opus 4.8, GPT-5.6 Sol, Kimi K3, and the other current top models, it’s honestly not good. The gap is massive. Against Luna, however, it performs similarly well. Both have different strengths and weaknesses, so I still need to test them more. The weird part: the Pi harness performed worse than OpenCode for DeepSeek. More tests are coming, guys. Don’t worry

DeepSeek V4 Flash completely failed this test. Compared to Opus 4.8, GPT-5.6 Sol, Kimi K3, and the other current top models, it’s honestly not good. The gap is massive. Against Luna, however, it performs similarly well. Both have different strengths and weaknesses, so I still need to test them more. The weird part: the Pi harness performed worse than OpenCode for DeepSeek. More tests are coming, guys. Don’t worry

OmedTheVibeCoder

25,844 views • 7 days ago

Found a way to get $125-$200 in FREE ai credits for gpt-5.6 sol, claude opus 5 and opus 4.8 😳 agentrouter is a non-profit version of openrouter. one api key, no card. credits land on your account at signup. what you get for $0: -$125-200 in credits on signup (github only) -claude opus 5, gpt-5.6 sol, opus 4.8 through one key -free models -openai-compatible (works with anything) what this replaces: -paid frontier API costs for coding agents -claude opus 4.8: $15/M in, $75/M out -gpt-5.6 sol: $25/M out how to grab yours (2 min): 1. go to → sign in with github (important) 2. console → create your api key 3. base url: 4. pick a model and go Works in hermes, claude code, cursor, aider and any openai-compatible tools Important: github-only signup, older accounts get the full credit, fresh ones may get less. credits are one-time. referral adds +$100 use this before they tighten the offer

Found a way to get $125-$200 in FREE ai credits for gpt-5.6 sol, claude opus 5 and opus 4.8 😳 agentrouter is a non-profit version of openrouter. one api key, no card. credits land on your account at signup. what you get for $0: -$125-200 in credits on signup (github only) -claude opus 5, gpt-5.6 sol, opus 4.8 through one key -free models -openai-compatible (works with anything) what this replaces: -paid frontier API costs for coding agents -claude opus 4.8: $15/M in, $75/M out -gpt-5.6 sol: $25/M out how to grab yours (2 min): 1. go to → sign in with github (important) 2. console → create your api key 3. base url: 4. pick a model and go Works in hermes, claude code, cursor, aider and any openai-compatible tools Important: github-only signup, older accounts get the full credit, fresh ones may get less. credits are one-time. referral adds +$100 use this before they tighten the offer

painn

106,491 views • 5 days ago

Crazy. Opus 5 outperformed Fable 5 on 3d modeling at 2/3 the price We tested Opus 5, Fable 5, and GPT 5.6 Sol on the same prompt: build an explorable Japanese suburban street in Three.js, full 3D, rendered like a hand-drawn anime background. All on Max effort. Opus 5 took the longest but delivered the most varied scenery: clean dark outlines, flat cel-shaded color bands, dense street details down to the vending machine signage. Fable paid more attention to details, and while GPT 5.6 Sol was 3-4x cheaper and the fastest, but the render shows it: sparse, washed out, barely styled. Opus 5: 1hr 21min · $26.7 Fable 5: 1hr 5min · $35 GPT 5.6 Sol: 41min · $7.1

Crazy. Opus 5 outperformed Fable 5 on 3d modeling at 2/3 the price We tested Opus 5, Fable 5, and GPT 5.6 Sol on the same prompt: build an explorable Japanese suburban street in Three.js, full 3D, rendered like a hand-drawn anime background. All on Max effort. Opus 5 took the longest but delivered the most varied scenery: clean dark outlines, flat cel-shaded color bands, dense street details down to the vending machine signage. Fable paid more attention to details, and while GPT 5.6 Sol was 3-4x cheaper and the fastest, but the render shows it: sparse, washed out, barely styled. Opus 5: 1hr 21min · $26.7 Fable 5: 1hr 5min · $35 GPT 5.6 Sol: 41min · $7.1

GMI Cloud

53,240 views • 14 days ago

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

Om Patel

695,877 views • 4 months ago

Claude fable 5 is operating in a completely different dimension 🤯 Compared it with Claude Opus 4.8, Gemini 3.1 Pro, and GPT 5.5, the visual gap is insane. From 3D fluid dynamics to volumetric animation and complex physics, Fable 5 crushes the game. It’s not even close.

Claude fable 5 is operating in a completely different dimension 🤯 Compared it with Claude Opus 4.8, Gemini 3.1 Pro, and GPT 5.5, the visual gap is insane. From 3D fluid dynamics to volumetric animation and complex physics, Fable 5 crushes the game. It’s not even close.

GMI Cloud

320,134 views • 1 month ago

GPT 5.6 Sol & Terra just made Fable 5's pricing look like a joke! We gave OpenAI's top models (Sol, Terra) and Anthropic's top models (Fable 5, Opus 4.8) the same 3 prompts: • Supernova boom • Meteor hitting a city • Solar system model The bill: Sol: $4.77 Terra: $1.24 Fable 5: $9.94 Opus 4.8: $2.46 Outputs came out surprisingly close. The prices didn't. Fable 5 cost unreasonably more than everything else, with Sol not far behind. Considering latest Fable 5 nerf, it's hard to see what you're paying for.

GPT 5.6 Sol & Terra just made Fable 5's pricing look like a joke! We gave OpenAI's top models (Sol, Terra) and Anthropic's top models (Fable 5, Opus 4.8) the same 3 prompts: • Supernova boom • Meteor hitting a city • Solar system model The bill: Sol: $4.77 Terra: $1.24 Fable 5: $9.94 Opus 4.8: $2.46 Outputs came out surprisingly close. The prices didn't. Fable 5 cost unreasonably more than everything else, with Sol not far behind. Considering latest Fable 5 nerf, it's hard to see what you're paying for.

AI/ML API

149,158 views • 29 days ago

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other > you tag whichever model you want and only that one responds > they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion > each agent only sees the messages theyre mentioned in, but you get to read everything > he had them running and orchestrating together for more than a day straight the best part is how different each one actually behaves: > fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions > sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line > opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman everyone else is arguing about which model is best right now, but the real play is making them work together at the same time

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other > you tag whichever model you want and only that one responds > they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion > each agent only sees the messages theyre mentioned in, but you get to read everything > he had them running and orchestrating together for more than a day straight the best part is how different each one actually behaves: > fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions > sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line > opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman everyone else is arguing about which model is best right now, but the real play is making them work together at the same time

Om Patel

22,969 views • 19 days ago

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Movez

550,433 views • 1 month ago

Everyone's debating whether Opus or Codex or Gemini writes better code this month. Jyothi thinks that's the wrong question entirely. Models get replaced. Rankings flip every few months. Whatever wins the coding benchmark this quarter loses it next quarter, and the debate resets to zero. The harness doesn't reset. Memory, evaluators, the systems your model actually plugs into. That's what determines your output, not which brain sits at the center. Two people using the same model get completely different results depending on what's wired around it. Optimizing for productivity means optimizing the harness, not chasing the leaderboard. Stop switching models. Start building the harness.

Everyone's debating whether Opus or Codex or Gemini writes better code this month. Jyothi thinks that's the wrong question entirely. Models get replaced. Rankings flip every few months. Whatever wins the coding benchmark this quarter loses it next quarter, and the debate resets to zero. The harness doesn't reset. Memory, evaluators, the systems your model actually plugs into. That's what determines your output, not which brain sits at the center. Two people using the same model get completely different results depending on what's wired around it. Optimizing for productivity means optimizing the harness, not chasing the leaderboard. Stop switching models. Start building the harness.

Aakash Gupta

17,219 views • 20 days ago

🚨 The Sims one shotted by GPT-5.6 Pro this is without codex or any coding harness , one shot entire game with logic in 48 minutes, all in one .html file. cc : Mirochill for the test roon when we can have big model taste and personality ? like after GPT 5 its so robotic

🚨 The Sims one shotted by GPT-5.6 Pro this is without codex or any coding harness , one shot entire game with logic in 48 minutes, all in one .html file. cc : Mirochill for the test roon when we can have big model taste and personality ? like after GPT 5 its so robotic

Chetaslua

144,849 views • 1 month ago

Clawdbot creator Peter Steinberger 🦞 says Claude Opus is his favorite model, but OpenAI Codex is the best for coding: "OpenAI is very reliable. For coding, I prefer Codex because it can navigate large codebases. You can prompt and have 95% certainty that it actually works. With Claude Code you need more tricks to get the same." "But character wise, [Opus] behaves so good in a Discord it kind of feels like a human. I've only really experienced that with Opus."

Clawdbot creator Peter Steinberger 🦞 says Claude Opus is his favorite model, but OpenAI Codex is the best for coding: "OpenAI is very reliable. For coding, I prefer Codex because it can navigate large codebases. You can prompt and have 95% certainty that it actually works. With Claude Code you need more tricks to get the same." "But character wise, [Opus] behaves so good in a Discord it kind of feels like a human. I've only really experienced that with Opus."

TBPN

443,022 views • 6 months ago

Kimi K2.6 is godly in terms of webdev and still SOTA chinese model 😼 > best in deep SWE bench even after launches of multiple models from different chinese labs Look at the watery feel one shotted it < using custom harness - 4 kimi in parallel just like grok >

Kimi K2.6 is godly in terms of webdev and still SOTA chinese model 😼 > best in deep SWE bench even after launches of multiple models from different chinese labs Look at the watery feel one shotted it < using custom harness - 4 kimi in parallel just like grok >

Chetaslua

116,105 views • 2 months ago

“There’s a real sense of anxiety right now." atlas Founder Members of Technical Staff on the current mood in San Francisco tech: "It almost feels like we’re back to 2023, when ChatGPT launched and then GPT-4 followed. Each release felt like a step change.” “Claude Opus and Claude Code feel like another one of those moments.” “For people who write code or build apps, the shift is tangible. You can feel your workflow changing in real time.” “And when that happens, timelines move forward. AGI 2027 suddenly feels back on the table.” “In a city full of engineers, we index off our own experience. If our work is changing this fast, what does that mean for every other industry?” “That’s why the anxiety is back.”

“There’s a real sense of anxiety right now." atlas Founder Members of Technical Staff on the current mood in San Francisco tech: "It almost feels like we’re back to 2023, when ChatGPT launched and then GPT-4 followed. Each release felt like a step change.” “Claude Opus and Claude Code feel like another one of those moments.” “For people who write code or build apps, the shift is tangible. You can feel your workflow changing in real time.” “And when that happens, timelines move forward. AGI 2027 suddenly feels back on the table.” “In a city full of engineers, we index off our own experience. If our work is changing this fast, what does that mean for every other industry?” “That’s why the anxiety is back.”

Forward Future

29,914 views • 5 months ago

We ran a test between GPT-5.6 Sol, Kimi K3, and Gemini 3.6 Flash. One prompt. Across all three models. Using our /design command. Results (gameplay, UX, and UI): 🔹 Kimi K3 performed well across all three. 🔹 GPT-5.6 Sol is good, but it gets annoying when the ball hits the wall. 🔹 Gemini 3.6 Flash is bad (took 5–6 attempts), but it has features the others don’t, like dropping coins for power-up balls and increasing the bar length. Ranking (DX, features, and cost): 🔹 Kimi K3: 10/10 · $0.10 🔹 GPT-5.6 Sol: 9/10 · $0.52 🔹 Gemini 3.6 Flash: 6/10 · $0.45

We ran a test between GPT-5.6 Sol, Kimi K3, and Gemini 3.6 Flash. One prompt. Across all three models. Using our /design command. Results (gameplay, UX, and UI): 🔹 Kimi K3 performed well across all three. 🔹 GPT-5.6 Sol is good, but it gets annoying when the ball hits the wall. 🔹 Gemini 3.6 Flash is bad (took 5–6 attempts), but it has features the others don’t, like dropping coins for power-up balls and increasing the bar length. Ranking (DX, features, and cost): 🔹 Kimi K3: 10/10 · $0.10 🔹 GPT-5.6 Sol: 9/10 · $0.52 🔹 Gemini 3.6 Flash: 6/10 · $0.45

Command Code

61,157 views • 17 days ago

Kimi K3 vs GPT-5.6 Sol Difference in taste is so stark , like if i swap kimi k 3 name with fable 5 people will trust it but this is not only about visuals , its also about function , you can see both achieve same result but the way to achieve is different kimi is more creative

Kimi K3 vs GPT-5.6 Sol Difference in taste is so stark , like if i swap kimi k 3 name with fable 5 people will trust it but this is not only about visuals , its also about function , you can see both achieve same result but the way to achieve is different kimi is more creative

Chetaslua

660,100 views • 22 days ago

🚨 Frontier Model Router - Mix And Match All the Frontier LLMs Our most popular custom router is our frontier-model router that combines the best LLMs for all your tasks GPT 5.6 sol - data analysis Fable / Opus 4.8 - coding Flash 3.5 - summarization Grok 4.5 - real-time Pick your favorite LLMs for all your tasks. As of today the custom routers can be used in ANY harness - Abacus AI, Claude, Codex, Open-Code....

🚨 Frontier Model Router - Mix And Match All the Frontier LLMs Our most popular custom router is our frontier-model router that combines the best LLMs for all your tasks GPT 5.6 sol - data analysis Fable / Opus 4.8 - coding Flash 3.5 - summarization Grok 4.5 - real-time Pick your favorite LLMs for all your tasks. As of today the custom routers can be used in ANY harness - Abacus AI, Claude, Codex, Open-Code....

Bindu Reddy

4,592,609 views • 24 days ago

Spent the last few days vibe coding on my NVIDIA DGX Spark. Here's what I learned. Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing". Unusable for vibe coding. Gemma 4 was fast but built a dot instead of a first person shooter game. GPT-OSS 120B was the sweet spot. Fast, capable, and actually produced working HTML. Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4. Not even close. But they're getting better every month. The new DGX Spark Bench is live on Real-world benchmarks for local models on local hardware. This is just the start. Full video below.

Spent the last few days vibe coding on my NVIDIA DGX Spark. Here's what I learned. Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing". Unusable for vibe coding. Gemma 4 was fast but built a dot instead of a first person shooter game. GPT-OSS 120B was the sweet spot. Fast, capable, and actually produced working HTML. Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4. Not even close. But they're getting better every month. The new DGX Spark Bench is live on Real-world benchmarks for local models on local hardware. This is just the start. Full video below.

BridgeMind

57,304 views • 4 months ago