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    Jared Palmer Retweets Devin Fusion Pareto Claim

    Jared Palmer retweeted @alexkaplan0 on Devin Fusion model pairing.

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    9 Sources, 29d ago, first seen 29d ago

    TLDR

    Jared Palmer, VP of Engineering at Xbox, retweeted a post by @alexkaplan0. The post states that Devin Fusion is strongly positioned to own the bleeding edge of the pareto curve by using the most cost-effective models. A generated headline in the packet reads Devin Fusion Tops Price-Performance Curve With Fable 5.1 And GPT-5.6. A generated source summary describes Cognition's Devin Fusion pairing frontier models like Fable 5.1 for planning with cost-effective models such as GPT-5.6 Luna for execution.

    Combined views

    912K

    9 Sources, first seen 29d ago

    Combined views

    912K

    9 Sources, first seen 29d ago

    4.3K likes
    4.3K likes
    120 comments
    464 saves
    197 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    120 comments
    464 saves
    197 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    9 Sources

    @claudeaiCache reads with Fable 5.1 cost 75% less than Fable 5’s. This reduces the cost of the model in practice by around 25% for typical workloads, and up to 45% for highly agentic ones.
    @cognitionIntroducing Fable 5.1 in Devin Fable-level intelligence is now 54% cheaper – making it even cheaper than Opus – due to a change in caching. Devin’s Fusion harness is now even smarter and cheaper than before, matching Fable 5.1 on FrontierCode at 47% lower cost. Here's how:
    @zephyr_z9They have started to offload more KV cache to Flash now
    @alexkaplan0Devin Fusion is strongly positioned to continuously own the bleeding edge of the pareto curve: Using the most cost-effective models (GPT-5.6 Luna) and frontier intelligence (Fable 5.1) means it is almost guaranteed to always be the most price performant
    @TekniumAlso, Anthropic made cache read prices 75% cheaper. This is only 13x more expensive than deepseek flash now for cache reads (most of the tokens paid for)
    @jaredpalmerDevin Fusion is my personal daily driver along with many of our biggest enterprise customers. By pairing frontier models together in an ensemble (planning vs. execution), Devin can deliver similar performance at a significantly cheaper price tag.

    9 Sources

    @claudeaiCache reads with Fable 5.1 cost 75% less than Fable 5’s. This reduces the cost of the model in practice by around 25% for typical workloads, and up to 45% for highly agentic ones.
    @cognitionIntroducing Fable 5.1 in Devin Fable-level intelligence is now 54% cheaper – making it even cheaper than Opus – due to a change in caching. Devin’s Fusion harness is now even smarter and cheaper than before, matching Fable 5.1 on FrontierCode at 47% lower cost. Here's how:
    @zephyr_z9They have started to offload more KV cache to Flash now
    @alexkaplan0Devin Fusion is strongly positioned to continuously own the bleeding edge of the pareto curve: Using the most cost-effective models (GPT-5.6 Luna) and frontier intelligence (Fable 5.1) means it is almost guaranteed to always be the most price performant
    @TekniumAlso, Anthropic made cache read prices 75% cheaper. This is only 13x more expensive than deepseek flash now for cache reads (most of the tokens paid for)
    @jaredpalmerDevin Fusion is my personal daily driver along with many of our biggest enterprise customers. By pairing frontier models together in an ensemble (planning vs. execution), Devin can deliver similar performance at a significantly cheaper price tag.