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Yeah, I checked usage stats and pretty sure quota consumption on Max plan is not linear wrt to usage by API pricing. Fable burns quota faster than 2x Opus with equal token count.

Plus I'm also not super impressed; it somehow managed to implement a 200L custom TCP server for a simple static HTTP mock server for a single test case (all that was needed was a fixed route returning a fixed placeholder string) just yesterday. Never seen anything like that.

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> somehow managed to implement a 200L custom TCP server for a simple static HTTP mock server for a single test case

The sharp but over eager jr. dev is a very good analogy :)

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I asked Opus why it used raw http client instead of api client that is already a dependency and it said: "you're right it's overkill" and proceeded to implement api client on top of raw tcp socket.
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Or an eager contractor who bills by the hour with a big unallocated budget.
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Fable always felt clearly a huge step above Opus for me. It's been able to one shot complex bugs and apps Opus could never solve. But it's expensive.
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Honest question/comment for you and the parent: I find these subjective experience reports pretty empty without an understanding of your level of experience, the problem space you're working in, etc.
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I think the improvement on how it codes is pretty much represented correctly by the benchmarks (a nice bump, but not some crazy leap)

But where it really shines is in how NOT lazy it is. Fable requires less hand-holding. And I can understand how someone who uses Claude-Code sparingly and with very focused prompts would not see a lot of improvement there.

But simple example: if you ask Opus to do a review of the codebase (with a short prompt and not too much guidance), I've had it basically read the `git log` output, do a simple `ls` and have it declare "Everything looks great! No problems found!", when Fable really does what you would expect it to do.

And you might think: "oh, so it's just capable of handling crap prompts?", well sure. But even if you make THE PERFECT Opus plan (a plan that would take many turns/hours to finish), Opus will fake out, say everything is done, and then you see that half of the plan was deferred, half of the functions are ridiculous stubs, ...

If you give the same plan to Fable, it'll just DO IT. And it WILL get it done. And in the end it'll tell you "Oh, I also found 30 other bugs and I fixed all of them properly" (where Opus would have started crying, or WORSE, worked around the bugs)

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> Opus will fake out, say everything is done, and then you see that half of the plan was deferred, half of the functions are ridiculous stubs, ...

Doesn't Claude Code have a /loop command? Give it a message to keep it on track overnight, send every 20m, make it track progress in a doc, reread the doc after every loop. I've found this works well for a certain class of problems, most importantly where the actual work is getting done by very narrowly focused batches of subagents, with the main session just coordinating and keeping the doc updated.

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They added a "/goal" command which I guess spawns a supervisor agent process that checks to see if your goal statement has been achieved (e.g. "/goal complete tasks 1-250 of plan.md") I've been pretty happy with it but I rarely use that workflow. Most of the time I give it a 3-6 step prompt and come back in 20 min and the first two were done and I get a summary "up next is to complete the next steps" which.... Opus 4.6 didn't have this problem. 4.8 feels like a cost cutting measure, or maybe it's just tuned poorly for my specific workflow (multi-repo system integration)
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For optimizations or proofs I suppose? Wouldn't know why else you would do something like that.
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I think the parent comment stands - I’ve asked Opus to do a review of DeepSeek’s test suite and told it a couple things I wanted it to look for, and it did a very thorough review of the tests and picked out a reasonable number of gaps and tautological tests. It’s a mix of prompting/instructions, the agent harness, and random chance. The model is not wholly irrelevant but IMO increasingly so.
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20 yoe, application/systems stuff, and I always run models on xhigh or max effort level.

Fable has been more intelligent, with better taste and defaults (e.g. make impossible states impossible without being told, build for testability), and considers/solves things that Opus did not.

My workflow is to run Claude in planning mode first to spit out a plan file and then review->revise cycle it with Codex or other agents.

One big tell is that Opus will say that it can't find any more revision advice for a plan file, yet Fable will find more issues but also smart pivots into better solutions. This is probably the best test since it's not based on vibes.

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I'm doing work with fairly complicated cryptographic algorithms and math. I'm finding Fable 5 to be a significant stop better than Opus 4.8, but that Opus occasionally comes up with something small but nontrivial that Fable missed. (The reverse is true much more often.)
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That's the delta in our use cases then, I suppose. I'm not doing anything super novel. DevOps work, web application development — things that typically do not stump the agent(s) when given time to iterate.
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15+YOE. Fable 5 is well above the level of Opus. I have used it alongside Opus for a range of hard problems, including porting a large static analysis tool to Rust, building various tooling around .pptx and .xlsx documents.

In all cases, Fable clearly outperformed Opus.

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What is your view on how experience and problem space relate to subjective experience.

For example will inexperienced or experienced users see a bigger jump in subjective quality?

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It still does stupid stuff like leave unnecessary abstractions around after refactoring instead of proactively suggesting to remove them.
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Only version week-one.

I’m downgrading tomorrow.

It’s horrible slow and it feels like opus very often. It’s a totally different experience from the first week

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Amusingly, I was impressed with Fable's puissance at coding in one particular session, shortly after they turned it back on. True to its reputation, it displayed an accomplished mastery of the problem domain and relentlessness at refining and testing the solution I asked for.

Then I checked /usage and discovered I was still running Opus 4.8 xhigh.

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I felt similarly but after using Fable heavily over the weekend and then flipping back to Opus I can feel a difference. Fable just gets more right the first time, guesses right the first time, and follows through better than Opus. Put simply, I could "trust" it more.

Opus is still great but I will be sad when I lose access to Fable on the 7th. In those few days I burned ~$1,400 in API credits (I'm on a subscription but that's the token cost) and while it was great, I can't justify that cost without it be subsidised. Comparatively, the records show I used about $1,200 total in the last month on Opus. I did use it heavily over the last 3 days but 3 vs 30 days and higher burn? Yeah, I can't afford that even if I made really good progress on my projects.

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Yep, I'm having the same verdict. Interestingly, other people swear by it. I'm trying to understand what's going on with that.
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Fable's spatial reasoning is much better. Over the weekend I had opus looking into a blank textbox issue[1] which it was spinning on for a few minutes, switching to fable immediately fixed

But yeah opus often the better workhorse given price gap

1: tying up loose ends testing https://github.com/HarbourMasters/Shipwright/pull/5838 (fix: https://github.com/HarbourMasters/Shipwright/pull/5838/chang...)

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It's good for one shotting as it seems to be specifically trained for that. It's also good to act as an agent orchestrator.
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I started telling a friend... I feel like Fable is Opus with extended reasoning that eventually "figures out more" because when I switched to it, I hit my limits surprisingly and shockingly quicker than I would with Opus, and I got less done. All this hype, and I much rather use Opus.
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This tweet is a nice demo of Fable's one-shot capabilities: https://x.com/atomic_chat_hq/status/2072446067962978411. I'll quote the text for convenience, but what really shows the difference is the attached video.

> atomic.chat (@atomic_chat_hq, 2026-07-02):

> Fable 5 totally crushed our new contest, but it cost 6x more than Opus 4.8!

> We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos

> Prompts:

> — A train derailing off a broken bridge into the water

> — Two cars jumping off ramps and colliding mid-air over a canyon

> — A monster truck crushing a row of parked cars

> Outputs:

> Fable 5: 62,158 tokens, $3.12

> GPT 5.5: 37,753 tokens, $1.14

> Opus 4.8: 22,280 tokens, $0.56

> GLM 5.2: 36,246 tokens, $0.08

> Fable 5 did all three scenes at A+. The crashes looked real, things fell and broke the right way, and nothing went through the ground or floated. GPT 5.5 was the closest to Fable. In the Bigfoot show, we think GPT was even a little better. GLM 5.2 did not win any scene, but it was the cheapest by far. Fable is the best pick for quality, but you pay more for it.

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