Muse Spark
Ranked 16 of 72 language models by recommenders
Meta's model is recommended as cheap and close to frontier models, with versions that run on consumer hardware, though many find it behind Claude for coding.
Meta's model is recommended as cheap and close to frontier models, with versions that run on consumer hardware, though many find it behind Claude for coding.
303 people gave an opinion
- recommend it
- 161
- criticize it
- 142
- approval share
- 53%
Recommended in 7 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: recommended (month in progress)
Why it doesn’t carry the badge
- 161 people recommend itNeeds 10 or more, met.
- 1.1 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 7 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Competitive with frontier models
“If it slightly beats or even matches Opus 4.6, it means Meta is capable of building a model competitive with the leading AI company.”
Comment from 8 Apr 2026 in “Muse Spark – Meta Superintelligence Labs” “I tried multiple riddles, graphs and questions I know some LLMs fails at, but this one seems to do well.”
Comment from 9 Apr 2026 in “Muse Spark: Scaling Towards Personal Superintelligence” “Sure it's not as good as Claude right now but for their first model in years it's certainly not bad.”
Comment from 8 Apr 2026 in “Muse Spark: Scaling Towards Personal Superintelligence” - Comment from 9 Jul 2026 in “Introducing Muse Spark 1.1”
- Comment from 8 Apr 2026 in “Muse Spark – Meta Superintelligence Labs”
- Comment from 15 Oct 2026 in “Muse Spark Open”
- Comment from 5 Aug 2026 in “Muse Code and Muse Spark 1.2”
- Comment from 9 Jul 2026 in “Introducing Muse Spark 1.1”
- Comment from 6 Oct 2026 in “Meta’s Muse is an adorable privacy and security dumpster fire”
Cheap, good value
“It seems to trade blows with GPT 5.5 and Opus 4.8 in performance while being cheaper than GLM 5.2.”
Comment from 9 Jul 2026 in “Introducing Muse Spark 1.1” “if it actually is this close to opus, but at a third the cost, that's pretty solid”
Comment from 5 Aug 2026 in “Muse Code and Muse Spark 1.2” “combined with almost free model (muse spark contributor) it's actually pretty good”
Comment from 6 Aug 2026 in “Muse Code and Muse Spark 1.2” - Comment from 21 Aug 2026 in “Quick impressions: A week of using Codex more than Claude”
- Comment from 30 Aug 2026 in “Hy4 preview”
- Comment from 9 Jul 2026 in “Introducing Muse Spark 1.1”
Runs locally on consumer hardware
“optimized to run on Mac Studio with M5 Ultra, and together they're the best way to run a powerful model on your own desktop”
Comment from 15 Oct 2026 in “Muse Spark Open” “They've done considerable effort in making sure this model can run on basically every model runner”
Comment from 15 Oct 2026 in “Muse Spark Open” “this is also the first time I've seen an actual lab announce they optimized for consumer hardware”
Comment from 15 Oct 2026 in “Muse Spark Open” - Comment from 16 Oct 2026 in “Muse Spark Open”
- Comment from 16 Oct 2026 in “Muse Spark Open”
Capable for coding work
“perfectly capable of following my spec and then poking holes in the implementation till there are none left”
Comment from 23 Sep 2026 in “GPT-6 Sol and Luna” “This is already so good that 90% of my work has shifted away from codex to this.”
Comment from 12 Oct 2026 in “Muse Wonder”
What people warn about
Each mark is one comment
Lags Claude/Opus for programming
“It's a decent model if the benchmarks are to be believed, but it won't be close to Opus in usefulness for programming.”
Comment from 8 Apr 2026 in “Muse Spark – Meta Superintelligence Labs” “Sure it's not as good as Claude right now but for their first model in years it's certainly not bad.”
Comment from 8 Apr 2026 in “Muse Spark: Scaling Towards Personal Superintelligence” “It's looking rather low on reasoning and long-range problems with the approach described.”
Comment from 8 Apr 2026 in “Muse Spark: Scaling Towards Personal Superintelligence” - Comment from 16 Oct 2026 in “Muse Spark Open”
- Comment from 6 Aug 2026 in “Muse Code and Muse Spark 1.2”
Coding quirks: stuck loops, assumptions
“can get stuck outputting similar sounding thought summaries with no apparent progress when asked to solve bugs”
Comment from 2 Sep 2026 in “Muse Spark 1.3” “MS1.2 wrote C code without following original source code writing style, and no descriptive info why writing such code”
Comment from 3 Sep 2026 in “Muse Spark 1.3” “Gemini 3.1 pro or Muse Spark 1.2 or the new Claude 5 models just assume so much without making a quick check in”
Comment from 15 Aug 2026 in “Why does Opus 5 feel worse to work with?” - Comment from 4 Sep 2026 in “Ask HN: Does anyone have access to GPT-6 Astra yet?”
Not truly open; restrictive license
“It's a bit of “Open”-washing but reasonable to the model trainer for their investment”
Comment from 15 Oct 2026 in “Muse Spark Open” “The model license requires large inference providers to contact Meta separately to obtain a license to serve the model.”
Comment from 15 Oct 2026 in “Muse Spark Open” “It's not open, like the Llama. There is a licensing agreement by which they allow you to use it for free on conditions.”
Comment from 15 Oct 2026 in “Muse Spark Open” - Comment from 12 Oct 2026 in “Muse Wonder”
Distrust of Meta and benchmarks
“there is no way meta is not training on your data regardless of your monthly invoice”
Comment from 5 Aug 2026 in “Muse Code and Muse Spark 1.2” “I don't see a reason to use something that is, at best, about as good as models that are produced by labs who don't have a reputation of cheating.”
Comment from 10 Jul 2026 in “Introducing Muse Spark 1.1” “this looks like something they rolled out in a hurry to take advantage of the FOMO of the uninformed”
Comment from 15 Oct 2026 in “Muse Spark Open” - Comment from 16 Oct 2026 in “Muse Spark Open”
- Comment from 8 Apr 2026 in “Muse Spark – Meta Superintelligence Labs”
Other language models people recommend
The four most recommended other language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Claude Opus | 3,331 | 2,746 | 55% | 13 | 4 mo156 owners | — |
| OpenAI GPT | 1,205 | 987 | 55% | 13 | 6 mo47 owners | — |
| Claude Sonnet | 854 | 586 | 59% | 13 | 6 mo46 owners | — |
| DeepSeek V4 Flash | 828 | 223 | 79% | 8 | 1 mo24 owners | Approved |
| Muse SparkThis page | 161 | 142 | 53% | 7 | — | — |
What people said
40 of the 346 comments that mention it, newest first. Each links to the original comment.
“Pretty sweet. I wonder if they can continue to distill this down so it runs smaller.”
“That they did not include DeepSeek 4.1 Flash on the list of benchmarks is a massive red flag for me.”
“1.3 was decent but not as useful as Chinese variants like glm, deepseek and mimo.”
“They did the actual work of testing and documenting deployments on several platforms.”
“Muse is great and millions of people are already getting used to having it be a part of their daily lives.”
“this is also the first time I've seen an actual lab announce they optimized for consumer hardware”
“It's a bit of “Open”-washing but reasonable to the model trainer for their investment”
“It's not open, like the Llama. There is a licensing agreement by which they allow you to use it for free on conditions.”
“this looks like something they rolled out in a hurry to take advantage of the FOMO of the uninformed”
“This model does better than Flash Next in many areas and I am sure is much stronger overall”
“The model license requires large inference providers to contact Meta separately to obtain a license to serve the model.”
“optimized to run on Mac Studio with M5 Ultra, and together they're the best way to run a powerful model on your own desktop”
“They've done considerable effort in making sure this model can run on basically every model runner”
“Despite the claims that they would release weights for Muse Spark, they haven't done that yet either.”
“This is already so good that 90% of my work has shifted away from codex to this.”
“Muse Spark 1.3 is way better than anything else out there outside of the US labs”
“perfectly capable of following my spec and then poking holes in the implementation till there are none left”
“i think the new muse contributor model is enticing too if you are not using it for private/sensitive stuff”
“it was the worst offender of this. Just spamming extra validation/inferring behaviour I didn't (not yet) want.”
“if it will be available in open weights form for self hosting, then there are good chances that it can become quite useful”
“MS1.2 wrote C code without following original source code writing style, and no descriptive info why writing such code”
“can get stuck outputting similar sounding thought summaries with no apparent progress when asked to solve bugs”
“Muse Spark Contribs is still best bang for your buck for the intelligence you get”
“I have completely migrated my high volume workflows to Muse Spark 1.2 Contributor”
“Gemini 3.1 pro or Muse Spark 1.2 or the new Claude 5 models just assume so much without making a quick check in”
“Your models aren't top-tier, this wouldn't hurt you at all at your current position in the rankings.”
“combined with almost free model (muse spark contributor) it's actually pretty good”
“there is no way meta is not training on your data regardless of your monthly invoice”
“if it actually is this close to opus, but at a third the cost, that's pretty solid”
“I don't see a reason to use something that is, at best, about as good as models that are produced by labs who don't have a reputation of cheating.”
“at least delivered something that's competitive with useful models and cheap too”
“It seems to trade blows with GPT 5.5 and Opus 4.8 in performance while being cheaper than GLM 5.2.”
“Debugging and diagnosis is very tool call heavy, whether that's grepping / transforming logs, calling out to profilers/tracers”
“I tried multiple riddles, graphs and questions I know some LLMs fails at, but this one seems to do well.”
“It's looking rather low on reasoning and long-range problems with the approach described.”
“Sure it's not as good as Claude right now but for their first model in years it's certainly not bad.”
“It's a decent model if the benchmarks are to be believed, but it won't be close to Opus in usefulness for programming.”
“Now they have a 'superintellegence'? Yeah, that sounds like just the latest in a line of bullshit.”
“If it slightly beats or even matches Opus 4.6, it means Meta is capable of building a model competitive with the leading AI company.”
“A new model comparable (ish) to the Claude/Gemini/GPT flagships is a big deal for the industry”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.