Positive users praise Muse Spark 1.1 for its coding benchmark gains and efficiency improvements as a major step forward, while negative users call the results merely mid-tier and still behind competitors.
Based on 16 visible X reactions from 33 accounts; directional sample.
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@alexandr_wang Do you really think META AI will be able to compete with SpaceXAI, Anthropic & Open ai there models are beyond imagination. You guys are so behind & will be.
@alexandr_wang Wow it went from completely worthless to mid. How much money did yall spend?
@alexandr_wang v1.1 feels like a massive step up for the codebase tbh
@alexandr_wang That's a huge feet right there 😍
The model's coding index climbed from 59 to 71.
@alexandr_wang Congrats!
@alexandr_wang 👍👍
Muse Spark 1.1 is between Opus 4.6 and Opus 4.7 its reasoning efficiency could be better, but given the very low price it doesn't actually matter, it's still close to the cost frontier If we ignore Mythos, Meta is behind OpenAI/Anthropic by ~4-5 months
muse spark 1.1 is ahead of gpt-5.6 on SciCode https://twitter.com/ArtificialAnlys/status/2075677422574547175
big jump on coding for muse spark 1.1 https://twitter.com/ArtificialAnlys/status/2075677419495940328
Positive users praise Muse Spark 1.1 for its coding benchmark gains and efficiency improvements as a major step forward, while negative users call the results merely mid-tier and still behind competitors.
Based on 16 visible X reactions from 33 accounts; directional sample.
Ask a question below.
Published answers will appear here.
@alexandr_wang 👍👍