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We should probably stop talking about AI model releases like normal software launches.

The old rhythm was simple: a lab ships a model, people try it, benchmarks land, everyone argues for two days, and the tool either earns a place in your workflow or it doesn’t.

GPT-5.6 broke that rhythm. OpenAI shipped it, but only to a small group of government-approved…

","28062205984f0d87e878eb860e6afb9ede1e0b8283d494dbe51964d947c33131","sig","70da711a64395ee274c70ae1fa8ed48647f11e414ea7b46b269b4a9acee75fc06cdca05884ca69d0e77b171bf0117a35b96cb9c33f974d3865739aa90aba950d","kind",1,[72,73,74,75,76],"pubkey","983dd797fe72ad62fc8e3ece7eed1f126550972885c8f835d9af5528dad655a3","content","Run this 4-question test before you let any AI into your files, your Slack, or your phone.\nWatch now | We should probably stop talking about AI model releases like normal software launches.\n\n\nnostr:naddr1qvzqqqr4gupzpxpa67tluu4dvt7gu0kw0mk37yn92ztj3pwglq6ant649rddv4drqqjrgefkxqcrsdry95mrwe3j956rse3s94snyvrp95cxxvfjxyen2wfn8ymrgjhk474 ","created_at",1782738057,[50,36],[83,42],[80,81,51,82],[78,79],[77,67,51],"p","client","Layer3.press","a","30023:983dd797fe72ad62fc8e3ece7eed1f126550972885c8f835d9af5528dad655a3:4e60084d-67f2-48f0-a20a-0c1213593964","mention","image","0982e74f-173b-41c6-9295-2c0756013f5a","GPT-5.6 is here but...","Etched is launching advanced inference clusters with extreme vertical integration, achieving significant traction with $800M raised and over $1B in backlog orders, aiming to solve the critical bottleneck in AI inference hardware. OpenAI's GPT-5.6 is reportedly ready but faces government blocks, with only select partners gaining access to its new models like Sol. The AI landscape is buzzing with new tools and updates, including Replit's desktop app, in-browser ML models for data redaction, and various agent-building platforms.","plus the insanity of inference","https://substack-post-media.s3.amazonaws.com/public/images/cbc67bbb-9d83-40d2-be1c-c0bab7c9c88e_1200x630.jpeg","2026-06-30T15:02:46","https://www.bensbites.com/p/gpt-56-is-here-but",{"_33":94,"_61":95,"_63":64,"_52":96,"_66":97,"_68":98,"_70":99},"019f5f9b-d2e1-2787-719a-25a9a06f3aad","

Hey folks, I’m back from a long weekend in Greece and have to tell you about a company I backed a couple years ago that’s coming out of stealth.

Etched.

Training got all the attention for the last few years. But in 2026, the real fight is serving intelligence: lower latency, lower cost, less power, more tokens. The market is screaming for better inference systems, and we’ve never seen a market like inference. So much so, people can’t sleep thinking about it (see the tweet in afters ).

AI inference could be the biggest market in history and the bottleneck is inference hardware. Etched built the perfect product. Pulling it off will change how models run.

Etched are building frontier inference clusters with extreme vertical integration: chips, racks, software, manufacturing, and production co-designed end to end. First product in under three years, while most hardware peers took 7+.

Their traction is already insane: $800M raised, $1B+ in backlog orders, production underway with TSMC, and first chips working on the very first try (A0) on TSMC 4nm. A0 means the first physical version of a chip/system design that comes back from the fab. So yeah, A0 success ishard. Doing it this fast iswild.

I backed Gavin in 2023, as a 21-year old Harvard dropout, because he had first-principles technical conviction and the ability to recruit the most insane team who had actually built the last generation of compute infrastructure. Now Etched is 400+ people from NVIDIA, Google TPU, Broadcom, SK Hynix, TSMC and basically every serious AI chip program.

They’re backed by VentureTech Alliance (which has a strong partnership w/ TSMC), Peter Thiel, Jane Street, Two Sigma, Jump, HRT, Stripes, Ribbit and more.

As we’re seeing, who wins in AI won’t just be decided by who has the best models. But by who can serve them.

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Headlines

OpenAI has GPT-5.6, but its launch is also blocked by the US govt. Only “select partners” are getting access to GPT-5.6 Sol, Terra and Luna, three new models in the family. Sol is the biggest/smartest one of the bunch. It bypasses Mythos in certain benchmarks but is conveniently a little shy of Mythos-level in exploiting cybersecurity bugs. Sam Altman claims that GPT-5.6 will be available to regular users soon—though it might be US only to begin with, even if he’sworking hard for worldwide.
OpenAI also released an economics paper based on theadoption of Codex inside & outside OpenAI. Non-technical adoption is quickly matching engineering departments. The lead of the Codex app was onLenny’s podcast, where he talked about designing the app and the features that matter.
Cursor for iOSlets you launch always-on cloud agents from your phone & remote-control agents running on your computer. Composer 2.5 is 75% off in the app through July 5.
X launched a hosted MCPso Grok, Cursor and other MCP-compatible tools can connect to the X API and X developer docs without building the server yourself.
How do you build AI that actually understands you?Working Smarter, a podcast from Dropbox about AI and modern work, is back for season three. From context engineering to multimodal search, hear how engineers are building AI that works wherever you do.Listen to the first episode now.*

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My feed

Replit has a desktop app nowfor both Mac and Windows.
US national design studio createdRampart- a 14.7MB in-browser ML model to redact PII before it’s sent to a server.
In-app custom agents work for regular users;power users want skillsthey can plug into their own agents to use your product.
Human in the /loop- how do you reliably get in and out of the way of agents?
Zaro- build live apps, agents and workflows from Slack, email, docs and calendars.
Unpeel- native Mac terminal for agents with persistent sessions and git worktrees. (demo)
Tau- educational agent harness for building TUIs, extensions and harnesses.
Inference.netlets you test GLM 5.2 on mirrored prod traffic before switching models for your live users.
Odessia Travel- opinionated AI trip planner that searches and books flights, stays and activities.
smolmachines- spin up hardware-isolated Linux microVMs.
Animation vocabulary- skill for asking AI for motion with words like morph and rubber-band.
Every time you think you need a dashboard, ask your agent to make a throwaway HTML.
Teaching agentsproduct designat Vercel.
MCPs, APIs and CLIs- These are not three separate concepts.
New set of shadcn componentsfor building chat interfaces - streaming chat, scrolling, messages and attachments.

Afters

@ajambrosino) leads the team behind the Codex desktop app at@OpenAI. Codex usage has 6x'd since February, reaching over 5M weekly active users, and nearly 100% of OpenAI's employees use the Codex app regularly (and not just the engineers).\\n\\nAndrew's personal\",\"username\":\"lennysan\",\"name\":\"Lenny Rachitsky\",\"profile_image_url\":\"https://pbs.substack.com/profile_images/1592990461517389824/iln8hi1f_normal.jpg\",\"date\":\"2026-06-28T18:07:04.000Z\",\"photos\":[],\"quoted_tweet\":{},\"reply_count\":36,\"retweet_count\":35,\"like_count\":375,\"impression_count\":363604,\"expanded_url\":null,\"video_url\":null,\"belowTheFold\":true}\" data-component-name=\"Twitter2ToDOM\">

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","2d5f8616f999d10a76a6ec2ca152c7ceadde39be3e8a0abc98b6f0258d0eef91","cb3822e31f89c1820c26d691db2daad05ed87071d14934c7de6b8863c959f36a99e77d1595bdd66524e2c3faf08af565f1556c1997199b0db2d3a258f9b96b28",[100,101,102,103,104],"0b16efb3db6165f2311a31e04c8f874f8c569a4cc6cc219a3295cdfa9110b8b8","GPT-5.6 is here but...\nplus the insanity of inference\n\n\nnostr:naddr1qvzqqqr4gupzqzcka7eakct97gc35v0qfj8cwnuv26dye3kvyxdr99wdl2g3pw9cqqjrqwfcxfjnwdrx95cnwvmz956rzcek95unywf495exxvphx5mrqvfnvc6kz9vnd9c ",1782831766,[50,85],[83,88],[80,105,51,82],[78,79],[77,97,51],"30023:0b16efb3db6165f2311a31e04c8f874f8c569a4cc6cc219a3295cdfa9110b8b8:0982e74f-173b-41c6-9295-2c0756013f5a","b14402ee-c512-465c-894c-baf57fb56ac6","My Thoughts on Fable","The author has been using Fable as a thinking partner, noting similarities to Anthropic's Opus model, and is exploring new AI tools like GPT 5.6. They are looking for an AI harness that can assist with creative thinking and brainstorming, rather than solely acting as a coding agent. The article also highlights Fable's upcoming pricing changes and mentions various other AI developments, including OpenAI's inference cost reduction and new models.","What I want from a harness","https://substack-post-media.s3.amazonaws.com/public/images/019f8ba4-68cf-43f2-8092-5ce7b84b092b_1880x1132.png","2026-07-07T13:04:10","https://www.bensbites.com/p/my-thoughts-on-fable",{"_33":115,"_61":116,"_63":64,"_52":117,"_66":97,"_68":118,"_70":119},"

Hey folks,

I’ve been using Fable quite a bit since it came back (but not for long…) and I’ve barely used it to do any building. I like Anthropic’s models mostly for their thinking, they’re resourceful, creative and can connect things I often can’t put my finger on.

So Fable’s been a bit of a therapist/thinking partner this past week. But it feels slightly different this time. It could be me, but it has shown me a bunch of Opus-like traits in how it’s talking or thinking. And it’s not because my prompts are being routed to Opus (I checked).

I’m excited to see GPT 5.6 come out, I think this week, to see if they’ve finally cracked the creativity/thinking vibe I’m after. Codex is a materially better product than Claude Code (or Cowork). And it’s super fast.

As usual, I’m using a square peg for a round hole - a coding agent with a coding brain for creative thinking and brainstorming. But I do change the system prompt of Claude Code to a simpler one that is much faster and much less steered.

I’m wanting a harness that can still build but is less of a developer at heart, and more something to really spar with me on creative thinking. I sometimes flit to plain Claude for different perspectives, but that doesn’t seem to cut it either.

I’ve tried skills, prompts, and harnesses but nothing seems to get me what I want. Which is something I keep thinking through when I want to make something…what do I actually want?! Today that question comes up for me a lot, and I keep convincing myself I’ll only know when I see it, so I need to stay ‘in the work’ before it’ll present itself.

But equally, this could be AI having an impact on me - if anything can be generated at any moment, just cycle through until you see what you want. Just keep spinning that wheel.

Seems healthy?

Ben’s Bites is brought to you byAdobe Firefly

Adobe Fireflyexpands agentic capabilities with: brand kit creation (describe your style, brand name, and color palette and let it go to work), short product video creation, Quick Cut (auto-assemble video footage into a polished cut), storyboards (visualize and sequence ideas before production).

Headlines

Today is thelast day of Fablebeing available in your Claude subscriptions (atleast for now). You will have to buy usage credits for using Fable starting tomorrow. So everyone has a guide to get the max out of this one day:
- Use Fable tofind your unknowns- Thariq (from Anthropic)
- Let Fable useits judgement- Simon Willison
I’ve mostly used a single long chat with Fable this entire week. The way it uses memory, compaction, and writing to files is amazing. I’m making it use codex and droid as subagents A LOT. So much that I’m running out on my Codex usage faster than my Claude Code usage.— Keshav
Theo’s videoon how he has used Fable is a good watch to reimagine how you should use the newer generation of AI models, because remember, GPT-5.6-Sol will likely become accessible this week. You can expect similar performance/behaviour from that one.
The Information reported that OpenAI has found a way tocut its inference cost in halfand already tested it on logged-out ChatGPT users. Does this mean it can reduce API costs of their latest models too? Not sure, but I hope it is. The last major price cut we had was about a year ago, when OpenAI reduced the cost of o3 by 80%.
GPT-Realtime-2.1-mini- new model in the OpenAI API that can take in video and output audio while doing reasoning and tool calls.
MIRA is a playable world modeltrained on 10k hours of Rocket League-style gameplay. It feels like you’re actually playing the game on low-graphics with janky controls.
New interpretability research from Anthropic- Claude uses a global workspace to activate a bunch of concepts that don’t appear in the output or the chain of thought but affect its work. The researchers are comparing it to unconscious thoughts.

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My feed

OpenScienceis an open-source Claude Science alternative. Works with multiple models and 250+ skills.
You can run/cd in Claude Codeto move a running session to another folder without restarting.
The Making of Claude Code- short history from the team and early users.
integrations.sh- catalogue of product MCPs, APIs, CLIs, and auth steps for agents.
Taste Skill+Impeccable- design skills for agents that keep UIs from looking generic.
Boring Computers- spin up a real computer for an agent, then destroy it.
Chromeless- MacOS browser without chrome for clean screenshots and recordings.
Vercel MCP and CLI candiscover and fetch agent tracesfrom sessions with Eve, their own agent framework.
Types of loops and how to use them- turn-based prompts,/goal,/loop,/scheduleand proactive routines.
exe.devnow lets you connect your ChatGPT subscription to their terminal agent.
Dayflowlogs your screen activity and creates an automatic work journal based on what you’ve spent your time on in a day.
PersonalOS- 300k-token life context pack from iMessage, notes, docs and app exports. (prompt to do it for yourself)
Headroom- Mac menu bar app for Claude/Codex usage and spend during Fable week.
Afters
@aiDotEngineeryoutube.com/@aiDotEngineer\\n- Cursor Compile@cursor_ai\",\"username\":\"zarazhangrui\",\"name\":\"Zara Zhang\",\"profile_image_url\":\"https://pbs.substack.com/profile_images/1742369596534067200/Ts-5zSJ6_normal.jpg\",\"date\":\"2026-07-07T01:27:37.000Z\",\"photos\":[],\"quoted_tweet\":{},\"reply_count\":21,\"retweet_count\":78,\"like_count\":642,\"impression_count\":50670,\"expanded_url\":{\"url\":\"https://www.youtube.com/@aiDotEngineer\",\"title\":\"AI Engineer\",\"description\":\"Talks, workshops, events, and training for AI Engineers.\",\"domain\":\"youtube.com\",\"image\":\"https://pbs.substack.com/news_img/2071934747903930368/-WTvwFXn?format=jpg&name=orig\"},\"video_url\":null,\"belowTheFold\":true}\" data-component-name=\"Twitter2ToDOM\">

@thdxr, co-founder of OpenCode.\\n\\nWe talked about the future of software engineering, coding agents, and why open source matters more now than ever.\\n\\nTimestamps:\\n\\n0:00 Intro\\n5:30 Miami vs San Francisco tech scene\\n15:05 OpenCode origin story, scaling \",\"username\":\"Madisonkanna\",\"name\":\"Madison Kanna\",\"profile_image_url\":\"https://pbs.substack.com/profile_images/2021355431596359680/pKStIB0v_normal.jpg\",\"date\":\"2026-07-06T19:08:08.000Z\",\"photos\":[{\"img_url\":\"https://substackcdn.com/image/fetch/$s_!nHa7!,w_1028,c_limit,f_auto,q_auto:best,fl_progressive:steep/l_play_button_usfui2,w_88,e_colorize:0/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F__ss-rehost__tw-video-preview-13_2074208198291283968.jpg\",\"link_url\":\"https://t.co/UgrI9lye72\"}],\"quoted_tweet\":{},\"reply_count\":40,\"retweet_count\":27,\"like_count\":391,\"impression_count\":33111,\"expanded_url\":null,\"video_url\":\"https://video.twimg.com/amplify_video/2074208198291283968/vid/avc1/1280x720/EH4YFfKE5pX93MNL.mp4\",\"belowTheFold\":true}\" data-component-name=\"Twitter2ToDOM\">

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","bc87c073904727439590c0a4c7f6620d89edca02525a6574c35c883bd755182a","63ada3f055015c0a3b7f6f8a754def7d1597f31943c7d02021cb8658ab8f598bfd9265a81296845e648d9a6857dbeddf6c6a993c4508e86331fdc46c72e4a4cd",[120,121,122,123,124],"My Thoughts on Fable\nWhat I want from a harness\n\n\nnostr:naddr1qvzqqqr4gupzqzcka7eakct97gc35v0qfj8cwnuv26dye3kvyxdr99wdl2g3pw9cqqjxyvf5xscryet9943n2vfj956rvdtr95urjdrr943xze34xanxydfkv93nv4p2ptj ",1783429450,[50,107],[83,110],[80,125,51,82],[78,51],[77,97,51],"30023:0b16efb3db6165f2311a31e04c8f874f8c569a4cc6cc219a3295cdfa9110b8b8:b14402ee-c512-465c-894c-baf57fb56ac6","7f449a18-d88e-4687-95e7-7898ec87927d","Grok x Cursor","Anthropic has extended Fable 5 access for Claude subscribers until July 12, after which prepaid credits will be needed. OpenAI is rolling out GPT-5.6 models (Sol, Terra, Luna) today, with early feedback suggesting Sol is highly reliable. New developments include the Grok 4.5 model, enhanced ChatGPT Voice with new models, and a lighter version of Claude Cowork.","More Fable, GPT-5.6 and new ChatGPT voice","https://substack-post-media.s3.amazonaws.com/public/images/c4128583-dcdf-46c8-8d5a-5b0878ab4434_1800x1200.png","2026-07-09T13:02:45","https://www.bensbites.com/p/grok-x-cursor",{"_33":135,"_61":136,"_63":64,"_52":137,"_66":97,"_68":138,"_70":139},"

Hey folks,

Anthropic extended access to Fable 5 via Claude subscriptions until July 12. Same deal as before: up to 50% of your weekly limits, and after July 12, use prepaid usage credits. But this dangling-a-carrot move doesn’t make me trust their deadlines anymore.

Otoh, OpenAI announced that GPT-5.6 models (Sol, Terra and Luna) will be live for all users later today. General feedback on X (from early testers) is that Sol is not smarter than Fable but is so much more reliable that you would not want to use anything else.

Well, let’s see.

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Headlines

We have a good Grok model - Grok 4.5. SpaceXAI and Cursor trained it together, and it’s an Opus-class model. It should perform roughly in between Opus 4.7 and 4.8. But it’s much cheaper on a per-token basis and token-efficient—making it 6x cheaper than Opus models and 3x cheaper than GPT-5.5. It’s available in Cursor with increased limits andvia API too.
ChatGPT Voice is finally getting some new models -GPT-Live-1 and Live-1-mini.A new architecture lets these models a) talk while you’re still speaking without cutting your message off and b) use GPT-5.5 in the background. Results in much smoother conversations and a big jump in intelligence from the old advanced voice mode.
A lighter version ofClaude Cowork will work on web and mobile- sessions will run remotely and save to your account, so you can kick off a task on the laptop, close it, and check in from your phone. Cowork on the desktop app remains the full deal. Beta rolls out over the coming weeks.
Muse Image and Video- New multimedia generation models from Meta. The images have more of an AI look, but the model seems good at image editing and text rendering, and can search the web to get facts right, etc. They also have a video model in preview that will be released soon.

Subscribe now

My feed

Render Workflows- Definelong-runningtasks with a lightweight SDK thathandles queuing, orchestration, & retries.Try it- use codeRENDER-BENSBITESfor $50 in credits.*
Cognition released SWE-1.7- its strongest model yet, near the top frontier models at lower cost, and available at 1000 tok/s.
Cloudflare Drop- drag a folder into the browser, get a live site, no account needed.
Toya- Executive assistant that lives in iMessage, calls your phone, knows you and your work. (i’m an investor; check them out onProduct HuntandTwitter)
Ora Directory- search the web for tools and resources agents can use.
64 Claudesrewrote Bun in Rustin just 11 days.
Spatial contextin Clicky - draw on your screen so the model knows exactly where to look.
LoginWithChatGPT- unofficial SDK to add “Sign in with ChatGPT” in your app.
How to become anapplied AI engineer.
Model vs effortin Claude Code: “big model low thinking” or “small model high thinking”, what should you choose and when?
How to turn raw Markdown notes into anLLM knowledge base.
Acollection of small workershosted on Notion to sync Twitter bookmarks, Readwise, read webpages in markdown and more. (repo)
Perplexity Teammate- reportedly an internal coding agent like Claude Code/Codex.
Skills collections:
- mattpocock/skills v1.1- /wayfinder, /research, /implement, /to-spec and /to-tickets.
- Meng To’s Agent Skills- 75 design, motion, WebGL and landing-page skills for agents.
Afters

annals-kingdom.netlify.app\",\"username\":\"emollick\",\"name\":\"Ethan Mollick\",\"profile_image_url\":\"https://pbs.substack.com/profile_images/1601382188712398850/3AAOlqrX_normal.jpg\",\"date\":\"2026-07-08T01:29:51.000Z\",\"photos\":[{\"img_url\":\"https://substackcdn.com/image/fetch/$s_!_9w3!,w_1028,c_limit,f_auto,q_auto:best,fl_progressive:steep/l_play_button_usfui2,w_88,e_colorize:0/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F__ss-rehost__tw-video-preview-13_2074666913116893184.jpg\",\"link_url\":\"https://t.co/zt7t9nQlzJ\"}],\"quoted_tweet\":{},\"reply_count\":109,\"retweet_count\":205,\"like_count\":4139,\"impression_count\":365500,\"expanded_url\":null,\"video_url\":\"https://video.twimg.com/amplify_video/2074666913116893184/vid/avc1/1174x720/AZmglOuQm8v-YfBj.mp4\",\"belowTheFold\":true}\" data-component-name=\"Twitter2ToDOM\">

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","c83edb190d40b121d8ba13473663a79e5c88cc7aa6003ed628c44fcd69d1eb57","f6e589e625d9d79a6660ea0e37b9d23db53cde5c31ff44b1a2e420da9e9ca3379648885583cdda58704010bc212befa9886ebd0d780b6e50e1598fccfbf4d4a1",[140,141,142,143,144],"Grok x Cursor\nMore Fable, GPT-5.6 and new ChatGPT voice\n\n\nnostr:naddr1qvzqqqr4gupzqzcka7eakct97gc35v0qfj8cwnuv26dye3kvyxdr99wdl2g3pw9cqqjrwe35xsukzvfc94jrswr9956rvwph95un2efh95mnswfcv43nsdeexgmkg5dxmm9 ",1783602165,[50,127],[83,130],[80,145,51,82],[78,51],[77,97,51],"30023:0b16efb3db6165f2311a31e04c8f874f8c569a4cc6cc219a3295cdfa9110b8b8:7f449a18-d88e-4687-95e7-7898ec87927d","9204eef9-4094-4c71-aa1a-b739c7a5336a","GPT 5.6 vs Claude Fable 5: The Best AI Model Across 6 Practical Use Cases","OpenAI has released GPT 5.6, featuring three models: Sol, Terra, and Luna. GPT 5.6 Sol shows slightly better performance on coding benchmarks than Claude Fable 5 and is 50% cheaper at API prices. The article compares their real-world performance across six use cases, including building interactive websites and creating 3D games.","I tested both models for designing websites, building 3D games, publishing video clips, prototyping mobile app features, and more. Here's my verdict for each use case.","https://substackcdn.com/image/youtube/w_728,c_limit/8mY9wx_iMSU","2026-07-09T17:47:39","https://creatoreconomy.so/p/gpt-vs-claude-fable-i-tested-6-real-use-cases",{"_33":155,"_61":156,"_63":64,"_52":157,"_66":67,"_68":158,"_70":159},"

Dear subscribers,

OpenAI just made GPT 5.6 available to everyone and I’m here to answer your most burning question:

Is GPT 5.6 better than Claude Fable 5?

The answer is, it depends.

Watch my tutorialto see me test both models head-to-head for building a travel website, 3D Star Fox game, mobile app, and more.

Timestamps:

(00:00) GPT-5.6 vs Claude Fable 5 compared
(01:45) Build an interactive travel website
(05:44) Create a 3D Star Fox-style game
(09:39) Edit and publish short videos with browser use
(15:10) Plan and build a mobile app feature
(19:34) Get personalized life and business advice
(22:17) Improve and clean up a personal AI OS
(24:37) My takeaway on each model’s strengths and weaknesses

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GPT 5.6 vs. Fable benchmark and cost comparison

GPT 5.6 comes in three models: Sol, Terra, and Luna.

Sol is the flagship model and based on TerminalBench it actually performs slightly better than Claude Fable 5 at coding:

\"\" — On TerminalBench 2.1, GPT 5.6 Sol scores 88.8% versus 84.3% for Claude Fable 5

But I think OpenAI’s biggest advantage is model efficiency and cost. GPT 5.6 Sol is 50% cheaper than Claude Fable 5 at API prices:

\"\" — GPT 5.6 Sol vs. Claude Fable 5 token costs.

That’s a big deal because enterprises areincreasingly lookingfor the most cost-effective model. However, benchmarks only tell half the story, let me show you how both models perform on the 6 use cases below:

\"\" — The six real-world workflows I used to compare GPT 5.6 and Claude Fable 5.

1. Build an interactive travel website

\"\" — GPT 5.6 created a beautiful travel website with an animated 3D Torii Gate

GPT has historically lagged behind Claude on front-end design so I wanted to see if GPT 5.6 has closed that gap. I’m planning a trip to Japan in December so I gave both models my Google Doc itinerary and the prompt below:

Build a beautiful interactive travel website for my Japan itinerary Google Doc.

Organize it by day. For each day, include the date, area, activities, and dinner plans, plus images for major attractions.

Make it feel like a real travel catalog that I can share with my family. Add a 3D WebGL element to the hero so it looks more immersive and animated.

Tip:Ask AI to “add a 3D WebGL element to the hero banner” if you want to create websites with beautiful animated 3D graphics

\"\" — GPT 5.6 closed most of the front-end design gap between GPT 5.5 and Fable 5.

I ran the same prompt through GPT 5.5, GPT 5.6, and Fable:

GPT 5.5created a functional website but botched the 3D hero image.
GPT 5.6created an animated torii gate and found more relevant photos.
Fable 5created beautiful animated snowflakes in a winter scene.

Watch my videoto see how all 3 websites look.

Verdict: Tiedbecause GPT 5.6 has really closed the gap with Fable on frontend design.

P.S. We’ve started hosting regular live workshops in my Slack community for AI builders. Upcoming workshops include:

July 17 - AI native design (design.md, components, etc) with Julie Xu
July 24 - Building production apps with Colin Matthews
August - Deep dive on AI evals with Hamel Husain

All workshop recordings will be sharedherefor paid subscribers.

Subscribe for Full Access

2. Create a 3D Star Fox style game

Growing up, Star Fox was one of my favorite games on the Super Nintendo. So naturally, I had to ask both GPT 5.6 and Claude Fable 5 to build a fully playable Star Fox level complete with enemies, power-ups, and even a boss battle.

Both produced incredibly impressive results:

Here’s the exact prompt that I used to build these games in one shot:

","969eabe22443456d63270c996f70796b9a42bef193a0b08f64760ebe65613185","f6a7df2ae794dacfb8bb8ff9c4cac1b1ab831d715007d7029a960c595199b249962bbb406525c76f57d5ef6d0e4c7f5980dfe6a8fea162ed4996f226ea5215f6",[160,161,162,163,164],"GPT 5.6 vs Claude Fable 5: The Best AI Model Across 6 Practical Use Cases\nI tested both models for designing websites, building 3D games, publishing video clips, prototyping mobile app features, and more. Here's my verdict for each use case.\n\n\nnostr:naddr1qvzqqqr4gupzpxpa67tluu4dvt7gu0kw0mk37yn92ztj3pwglq6ant649rddv4drqqjrjv3sx3jk2e3e956rqwf5956xxde394skzvtp943rwveevvmkzdfnxvmxzepd4et ",1783619259,[50,147],[83,150],[80,165,51,82],[78,51],[77,67,51],"30023:983dd797fe72ad62fc8e3ece7eed1f126550972885c8f835d9af5528dad655a3:9204eef9-4094-4c71-aa1a-b739c7a5336a","35172f4e-dad6-4003-83ef-92795c18e268","ChatGPT 5.6 vs Claude Fable 5: I Tested Both","A comparison between GPT-5.6 Sol and Fable 5 highlights their distinct operational styles: Sol acts as a fast, tool-proficient operator, while Fable functions as a senior figure capable of questioning and rebuilding plans for ambiguous tasks. Performance benchmarks show Sol leading in structured, tool-heavy agentic work and knowledge tasks, whereas Fable demonstrates superiority in complex, creative, or judgment-dependent tasks. GPT-5.6 is presented as a family of models (Sol, Terra, Luna) designed for specific tiers of complexity and cost.","I tested both on real work. One feels like a relentless operator. The other still feels like the person you call when the job itself is unclear.","https://substackcdn.com/image/fetch/$s_!RBtU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F68848061-7642-4836-bfac-ae3266f6e268_1672x941.png","2026-07-10T19:46:26","https://emergingai.substack.com/p/chatgpt-56-vs-claude-fable-5-i-tested",{"_33":175,"_61":176,"_63":64,"_52":177,"_66":67,"_68":178,"_70":179},"

I gave both models the same kind of mess: several documents, conflicting information, an unfinished idea, and a useful deliverable expected at the end.

GPT-5.6 Sol moved first. It opened the material, separated the work, used the available tools, and started clearing the queue.

Fable 5 behaved differently. I noticed that one of my assumptions could damage the entire result. It stopped, questioned the direction, rebuilt the plan, and then continued.

Both models completed the work. That was not the important part.

With Sol, I felt I had hired a very fast operator who could stay at the desk for hours, use every tool around it, and keep moving until the checklist was empty.

With Fable, I felt I had brought in a senior person who could decide whether the checklist made sense in the first place.

That difference now controls where I use each model.

The numbers sayclose. The work feels more complicated.

On the Artificial Analysis Intelligence Index, Fable 5 currently scores 59.9 while GPT-5.6 Sol scores 58.9. Sol reaches nearly the same aggregate result at roughly one-third of the measured cost per task. On the Coding Agent Index, however, Sol leads 80 to 77.2. Then the result flips again on SWE-Bench Pro, where Fable reaches 80% and Sol reaches 64.6%.

This is why the launch arguments sound so confused.

Sol performs extremely well when the work is measurable, tool-heavy, structured, and carried through an agent harness. Fable becomes more impressive when the task is ambiguous, creative, difficult to specify, or dependent on one excellent judgment call.

A separate composite comparison puts Fable ahead overall, 91 to 86, while still giving Sol the advantage in agentic work and knowledge tasks. That result is useful, but it is still a collection of benchmarks not a map of your working day.

Subscribe now

First, understand whatChatGPT 5.6actually includes

GPT-5.6 is a family, not one model.

Solis the flagship. Use it for difficult reasoning, coding, research, tool use, and long-running work.

Terrais the balanced version. It is meant for everyday production work where Sol would be unnecessary.

Lunais the fast, low-cost option for classification, extraction, bulk processing, short summaries, and other easy-to-check jobs.

Inside the full guide,I break down where GPT-5.6 Sol beats Fable 5, where Fable still feels smarter, and how to use both without wasting money. You’ll get the exact three-model workflow I now use, current pricing and access, the best ChatGPT Work and Codex setup, reusable prompts, commands, plugins, skills, real examples, safety limits, and my final answer on which model should handle each kind of work.

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OpenAI Releases GPT-5.6 Model Family

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