Gemini 4 Carbon was 3x cheaper and 3x faster in Atomic Agent Fusion!
We let Gemini split the prompt into tasks and send them to a local Qwen 3.8 27B. The minion scene took 5 min and $2.39. Gemini alone took 16 min and $7.71.
Try local orchestration π https://t.co/295O9ILOgw
Gemini 4 Carbon is now available.
Itβs our strongest model, built to dig deeper, handle long-horizon tasks, and multi-step reasoning.
If Argon is great for complex tasks, Carbon is the model you bring in for your hardest problems.
Make viral content in one prompt with Fable 5.2 + AI/ML API π₯
With https://t.co/ZeDlxufXNz your agent can:
β Find whatβs blowing up on any social platform
β Decode why each video went viral
β Create content with top video models
β Grow your account on trends that already work
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Prompt in comments π
@cagrimbakirci We were surprised too! Fable still does the planning and review, it just splits the scene into small pieces so Qwen can build each one in parallel. Each part gets full focus, so you end up with more detail. All our prompts are on our Discord π https://t.co/wR8mMdNbDQ
@prathamkode@0x0SojalSec Yes, we're sure! π That one was made with Fusion mode in Atomic Agent: Fable plans, Qwen builds π https://t.co/qZTODA3Jzi
@bradlishman@Alibaba_Qwen Not on our coding runs so far! In Fusion mode Qwen gets small, clear tasks from the planner, so it just builds. Have you seen it on a specific kind of task? https://t.co/qZTODA3Jzi
Fable 5.2 was 5x cheaper and 2x faster in Atomic Agent Fusion!
We made Fable the boss and local Qwen 3.8 27B the builders. Orchestration built a fairy tale pop-up book in 11 min for $2.98. Fable alone burned $15.77 in 21 min.
Run Fable cheaper π https://t.co/295O9ILgqY
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
Theyβre capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
@arctic_hare_@lydiahallie@noahzweben@NotTomBrown@rowankwang Fable plans the work and splits it into tasks, then a local Qwen model builds each piece in parallel. Fable reviews and merges it all. Full breakdown π https://t.co/qZTODA3bJK
Gemini 4 Carbon was 3x cheaper and 3x faster in Atomic Agent Fusion!
We let Gemini split the prompt into tasks and send them to a local Qwen 3.8 27B. The minion scene took 5 min and $2.39. Gemini alone took 16 min and $7.71.
Try local orchestration π https://t.co/295O9ILOgw
Gemini 4 Carbon is now available.
Itβs our strongest model, built to dig deeper, handle long-horizon tasks, and multi-step reasoning.
If Argon is great for complex tasks, Carbon is the model you bring in for your hardest problems.
@opencode Two frontier drops in two days and we cooked with both π¨βπ³ Fable 5.2 and Gemini 4 Carbon as the boss of a team of agents https://t.co/k9wbfY0QQ8
Fable 5.2 was 5x cheaper and 2x faster in Atomic Agent Fusion!
We made Fable the boss and local Qwen 3.8 27B the builders. Orchestration built a fairy tale pop-up book in 11 min for $2.98. Fable alone burned $15.77 in 21 min.
Run Fable cheaper π https://t.co/295O9ILgqY
Gemini 4 Carbon was 3x cheaper and 3x faster in Atomic Agent Fusion!
We let Gemini split the prompt into tasks and send them to a local Qwen 3.8 27B. The minion scene took 5 min and $2.39. Gemini alone took 16 min and $7.71.
Try local orchestration π https://t.co/295O9ILOgw
In Atomic Agent the boss doesn't trust the builders blindly: it reads what they wrote, runs it in a throwaway copy in a headless browser and catches page and console errors, then sends a fix back if something's off. If a builder thinks a task is too vague it hands it back instead of guessing. Weak spot right now is stuff that runs fine but looks wrong, that still needs eyes.
@Google@GoogleDeepMind Congrats on Gemini 4 Carbon! Long-horizon planning is exactly the job we'd give it in Atomic Agent: Carbon as the boss, local models doing the work.
@asmirkn@lydiahallie@noahzweben@NotTomBrown@rowankwang Yeah, but Fable is also a seriously good orchestrator: it plans the work and writes briefs sharp enough for a small local model to nail. You need both, and Fusion in Atomic Agent puts them together.