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GPT 5.6 Sol vs Claude Fable 5 Which model handled the mining mech better?

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Flowith

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12,513 görüntüleme • 9 gün önce •via X (Twitter)

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Model eval round: GPT 5.6 Sol vs. Fable 5. Rendered with Seedance 2.0.
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Model eval round: GPT 5.6 Sol vs. Fable 5. Rendered with Seedance 2.0.

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We were testing GPT-5.6 for a month now < kindle alpha> > fixed most GPT-5.5 problems > way better frontend design > sol is on par in 3d with fable not Fable level but the best day to day coding model for your pocket
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We were testing GPT-5.6 for a month now < kindle alpha> > fixed most GPT-5.5 problems > way better frontend design > sol is on par in 3d with fable not Fable level but the best day to day coding model for your pocket

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You can now orchestrate Fable 5, Sol, and any model inside Codex with one plugin. It's called Codex-Orchestration. Assign Fable 5 as the advisor, Sol as the executor, or any model to any role. Then define the order they work in. Codex handles the routing. I ran Fable 5 High as planner with GPT-5.6 Sol Extra High as executor on a set of issues Opus and GPT-5.5 always struggled with. Done in 30 minutes. 40% fewer limit hits. 2x faster implementation. Install it by pasting this into Codex: "Install Codex Orchestration: codex plugin marketplace add Cjbuilds/Codex-Orchestration codex plugin add codex-orchestration@codex-orchestration Verify the installation, then tell me to start a new task." Then assign your models: @ codex-orchestration advisor: Claude Fable 5 High, Executor: GPT-5.6 Sol High Open source. Tweak the routing however you want.
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You can now orchestrate Fable 5, Sol, and any model inside Codex with one plugin. It's called Codex-Orchestration. Assign Fable 5 as the advisor, Sol as the executor, or any model to any role. Then define the order they work in. Codex handles the routing. I ran Fable 5 High as planner with GPT-5.6 Sol Extra High as executor on a set of issues Opus and GPT-5.5 always struggled with. Done in 30 minutes. 40% fewer limit hits. 2x faster implementation. Install it by pasting this into Codex: "Install Codex Orchestration: codex plugin marketplace add Cjbuilds/Codex-Orchestration codex plugin add codex-orchestration@codex-orchestration Verify the installation, then tell me to start a new task." Then assign your models: @ codex-orchestration advisor: Claude Fable 5 High, Executor: GPT-5.6 Sol High Open source. Tweak the routing however you want.

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GPT-5.6 is INSANE Fable 5 is INSANE Opus 5 will be INSANE meanwhile Gemini...
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Claude Fable 5 on left vs GPT 5.5 on right. Both one shot. Fable 5 is truly a big jump in CAD capabilities as seen in ForgeCAD.
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Claude Fable 5 on left vs GPT 5.5 on right. Both one shot. Fable 5 is truly a big jump in CAD capabilities as seen in ForgeCAD.

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GPT-5.6 is a legit answer to Claude Fable 5. Yet, GPT-6 is coming Soon™ according to posters I trust. Here are the GPT-6 rumors: > Release within 4 weeks > Brand new pre-train beyond Spud 🥔 ~ 10T params > OpenAI's real answer to Mythos/Fable There is no wall.
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GPT-5.6 is a legit answer to Claude Fable 5. Yet, GPT-6 is coming Soon™ according to posters I trust. Here are the GPT-6 rumors: > Release within 4 weeks > Brand new pre-train beyond Spud 🥔 ~ 10T params > OpenAI's real answer to Mythos/Fable There is no wall.

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Most benchmarks just give you a number on a chart. We made one where you judge the actual work side-by-side. Here's Fable 5 vs GPT-5.6 Sol on a mix of design, writing, and creative work. Try Hyperbench and choose your winner:
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Most benchmarks just give you a number on a chart. We made one where you judge the actual work side-by-side. Here's Fable 5 vs GPT-5.6 Sol on a mix of design, writing, and creative work. Try Hyperbench and choose your winner:

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Kimi K3 just jumped 17 places to #1 on Arena.ai's Frontend Code Arena. So we gave it real client work to see where leaderboards meet reality: >10 landing page briefs, >judged blind by 8 working designers >against GPT 5.6 Sol, Gemini 3.5 Flash, and Claude Fable 5. It tied the best model in the study. And on detailed briefs, it won. Details in 🧵:
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Kimi K3 just jumped 17 places to #1 on Arena.ai's Frontend Code Arena. So we gave it real client work to see where leaderboards meet reality: >10 landing page briefs, >judged blind by 8 working designers >against GPT 5.6 Sol, Gemini 3.5 Flash, and Claude Fable 5. It tied the best model in the study. And on detailed briefs, it won. Details in 🧵:

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FableとGPT-5.6 solに作らせたゲームが普通に楽しいし脳トレになる
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Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.
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Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

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Announcing 100% free GPT 5.6 Luna Use the model in any of our 5 products from coding agents to chat 👉

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I tested Kimi K3 vs Claude Opus 4.8 Same prompt, an armory bay with lighting, props, and detail. Top is Kimi K3, bottom is Opus 4.8. It's not even close. Kimi K3 built a full scene with textures, proper lighting, ammo crates, weapon racks, working detail everywhere. Opus 4.8 gave me a near empty room with a couple of floating tables. No doubt it beats Opus 4.8. Kimi K3 is Fable 5 level, and it's clearly better than GPT-5.6 Sol at 3D and games. An open weight model just matched the best closed models on the market. Let that sink in.
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I tested Kimi K3 vs Claude Opus 4.8 Same prompt, an armory bay with lighting, props, and detail. Top is Kimi K3, bottom is Opus 4.8. It's not even close. Kimi K3 built a full scene with textures, proper lighting, ammo crates, weapon racks, working detail everywhere. Opus 4.8 gave me a near empty room with a couple of floating tables. No doubt it beats Opus 4.8. Kimi K3 is Fable 5 level, and it's clearly better than GPT-5.6 Sol at 3D and games. An open weight model just matched the best closed models on the market. Let that sink in.

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Claude Fable 5 designs a complete 3D-printable model in a browser-based CAD editor. The editor was also created by Fable 5, including the built-in AI copilot that does the modeling.
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Claude Fable 5 designs a complete 3D-printable model in a browser-based CAD editor. The editor was also created by Fable 5, including the built-in AI copilot that does the modeling.

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