@dabit3: Being model-agnostic allows @cognition to always offer "the best" models not just "our best" models. Devin Fusion is an…
Summary
Cognition introduces Devin Fusion, an adaptive model router that reduces cost by 35% while maintaining real frontier intelligence for agentic coding tasks.
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Cached at: 06/29/26, 10:45 PM
Being model-agnostic allows @cognition to always offer “the best” models not just “our best” models.
Devin Fusion is an expression of that, and our most advanced adaptive router ever.
Devin Fusion • Retains real frontier intelligence rather than “benchmark-score” intelligence at 35% less cost. • Re-evaluates as the task evolves, so an easy opening prompt that turns difficult still gets the right model. • Avoids costly cache misses when routing between models.
These types of advanced routers will carry the majority of agent traffic sooner than later as everyone rushes to curb token spend without affecting efficiency or productivity.
Cognition (@cognition): Conventional model routing sucks. It passes benchmarks but fails to write code you’d actually merge.
Introducing Devin Fusion, a new hybrid-model harness for agentic coding.
In testing, it reduces the cost of Fable-level intelligence by 35% and still feels good to use.
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@DeRonin_: https://x.com/DeRonin_/status/2054235707791778034
A practical guide on reducing AI coding expenses by 80% through smarter token management, including multi-model routing, prompt caching, and context discipline, rather than simply switching to cheaper models.