{"slug": "muse-wonder", "name": "Muse Wonder", "category": "ai-models", "category_name": "AI models", "description": "", "recommenders": 3, "commenters": 7, "warners": 2, "score": 0.7, "rising": 3.0, "first": "2026-10-12", "latest": "2026-10-23", "why": "(prior to Muse Wonder) my go-to for a third opinion during multi-round/multi-agent analysis tasks", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 3, "neutral": 1, "compare": 0, "warn": 3}, "spark": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3], "listed": true, "loved": [], "caveat": "", "short_quote": "(prior to Muse Wonder) my go-to for a third opinion during multi-round/multi-agent analysis tasks", "kind": "", "icon": false, "family": "muse", "domain": "meta.ai", "github_repo": null, "official_url": "", "pricing": "", "aliases": ["Muse Wonder"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 803469889, "item_id": 50216868, "url": "https://news.ycombinator.com/item?id=50216868", "by": "simondotau", "date": "2026-10-23", "version": null, "stance": "recommend", "quote": "(prior to Muse Wonder) my go-to for a third opinion during multi-round/multi-agent analysis tasks", "excerpt": "Kimi K3 has been my go-to model for its writing style and (prior to Muse Wonder) my go-to for a third opinion during multi-round/multi-agent analysis tasks. Its writing style is IMHO so good that, for code which humans need to review, I regularly got it to clean up the painfully verbose comments left by Opus. I'm excited to see if its writing style and unique takes have been retained in this new release.", "context": "", "use_case": "third opinion in multi-agent analysis", "switched_from": "Kimi K3", "story": "Kimi K3.1 Pro and K3.1 Pro Highspeed"}, {"id": 801504416, "item_id": 50094026, "url": "https://news.ycombinator.com/item?id=50094026", "by": "chriddyp", "date": "2026-10-14", "version": null, "stance": "recommend", "quote": "Awesome model.", "excerpt": "Awesome model. Tested it for data analytics and found it's in the class of Opus 5.5 in terms of performance and cost. Compared to Muse Spark 1.3, found that it's more than 2x faster about 2x more expensive. I normally equate accuracy to size, and size to speed, so nice surprise to see a model get better _and_ faster. Like Argon 4, models in this class are a bit over powered for short-horizon data analytics tasks. GPT", "context": "", "use_case": "Data analytics", "switched_from": "", "story": "Muse Wonder"}, {"id": 800973408, "item_id": 50060838, "url": "https://news.ycombinator.com/item?id=50060838", "by": "simonw", "date": "2026-10-12", "version": null, "stance": "recommend", "quote": "Some pretty decent pelicans:", "excerpt": "Some pretty decent pelicans: https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/185cff7ff0b11379725abf7f78d5d2b2 Here's Muse Spark 1.2 in August for comparison: https://tools.simonwillison.net/markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fce974a21202b0595e36ec2a5ddb51480 And since I seem to have missed doing pelicans for Muse 1.3 in September, I just ran thos", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}]}], "caveats": [{"label": "", "summary": "", "quotes": [{"id": 801041568, "item_id": 50065098, "url": "https://news.ycombinator.com/item?id=50065098", "by": "XCSme", "date": "2026-10-13", "version": null, "stance": "warn", "quote": "It's ok, intelligent, almost SOTA, but way too expensive", "excerpt": "It's ok, intelligent, almost SOTA, but way too expensive [0], and some issues with API failing sometimes at the moment. [0]: https://aibenchy.com/compare/meta-muse-wonder-max/openai-gpt-6-1-sol-max/", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}, {"id": 801004816, "item_id": 50062801, "url": "https://news.ycombinator.com/item?id=50062801", "by": "dom96", "date": "2026-10-12", "version": null, "stance": "warn", "quote": "Muse Wonder isn't much better than Muse Spark 1.3", "excerpt": "I wish I could benchmark Muse Wonder Full, because Muse Wonder isn't much better than Muse Spark 1.3[1]. I created a brand new programming language designed to confuse LLMs[2] and created a model benchmark out of it. A lot of the tasks were failed because they exceeded the $5 budget though, so maybe it would have gone on to complete them, it just required a lot of funds to do so. Still, that's the benchmark, and it's", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}, {"id": 800972848, "item_id": 50060803, "url": "https://news.ycombinator.com/item?id=50060803", "by": "jjcm", "date": "2026-10-12", "version": null, "stance": "warn", "quote": "It's much worse than Opus 5.5.", "excerpt": "Image->HTML test for Muse Wonder. It's much worse than Opus 5.5. IMO it's closer to Sonnet or Haiku for this test. Muse Wonder (high): https://html.non.io/lcars-muse-wonoder/ Opus 5.5 (high): https://html.non.io/lcars-opus-5.5/ Original design: https://diffui.ai/app/canvas/5093e689-1e74-4f26-b632-2a4500f0da97?share=65ac3348-895b-4264-824e-b5f343040009 I was expecting much more given the benchmark numbers it was putti", "context": "", "use_case": "Image to HTML", "switched_from": "", "story": "Muse Wonder"}]}], "who": [], "tags": [], "use_cases": ["third opinion in multi-agent analysis", "data analytics", "image to html"], "compared": [{"slug": "claude-opus", "name": "Claude Opus", "co": 4, "switched_from": 0, "switched_to": 0}, {"slug": "kimi", "name": "Kimi", "co": 1, "switched_from": 1, "switched_to": 0}, {"slug": "muse-spark", "name": "Muse Spark", "co": 3, "switched_from": 0, "switched_to": 0}, {"slug": "claude-haiku", "name": "Claude Haiku", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=50059115", "title": "Muse Wonder", "mentions": 7}, {"url": "https://news.ycombinator.com/item?id=50212065", "title": "Kimi K3.1 Pro and K3.1 Pro Highspeed", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=50107379", "title": "Muse Spark Open", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {}, "2026-04": {}, "2026-05": {}, "2026-06": {}, "2026-07": {}, "2026-08": {}, "2026-09": {}, "2026-10": {"neutral": 1, "warn": 3, "recommend": 3}}, "versions": [], "version_unnamed": 7, "family_ref": {"slug": "muse", "name": "Muse"}, "runs_on": null, "lines": [], "quotes": [{"id": 803469889, "item_id": 50216868, "url": "https://news.ycombinator.com/item?id=50216868", "by": "simondotau", "date": "2026-10-23", "version": null, "stance": "recommend", "quote": "(prior to Muse Wonder) my go-to for a third opinion during multi-round/multi-agent analysis tasks", "excerpt": "Kimi K3 has been my go-to model for its writing style and (prior to Muse Wonder) my go-to for a third opinion during multi-round/multi-agent analysis tasks. Its writing style is IMHO so good that, for code which humans need to review, I regularly got it to clean up the painfully verbose comments left by Opus. I'm excited to see if its writing style and unique takes have been retained in this new release.", "context": "", "use_case": "third opinion in multi-agent analysis", "switched_from": "Kimi K3", "story": "Kimi K3.1 Pro and K3.1 Pro Highspeed"}, {"id": 801743057, "item_id": 50108941, "url": "https://news.ycombinator.com/item?id=50108941", "by": "simonw", "date": "2026-10-15", "version": null, "stance": "compare", "quote": "For comparison:", "excerpt": "Pelicans for low, medium, high, and xhigh: https://tools.simonwillison.net/markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fa9f876c7c5294c76dcd6c2d99aad1868 I had to run them via OpenRouter - I don't have access to a machine that can handle this size of model. For comparison: Muse Wonder: https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/185cff7ff0b11379725abf7", "context": "", "use_case": "", "switched_from": "", "story": "Muse Spark Open"}, {"id": 801504416, "item_id": 50094026, "url": "https://news.ycombinator.com/item?id=50094026", "by": "chriddyp", "date": "2026-10-14", "version": null, "stance": "recommend", "quote": "Awesome model.", "excerpt": "Awesome model. Tested it for data analytics and found it's in the class of Opus 5.5 in terms of performance and cost. Compared to Muse Spark 1.3, found that it's more than 2x faster about 2x more expensive. I normally equate accuracy to size, and size to speed, so nice surprise to see a model get better _and_ faster. Like Argon 4, models in this class are a bit over powered for short-horizon data analytics tasks. GPT", "context": "", "use_case": "Data analytics", "switched_from": "", "story": "Muse Wonder"}, {"id": 801041568, "item_id": 50065098, "url": "https://news.ycombinator.com/item?id=50065098", "by": "XCSme", "date": "2026-10-13", "version": null, "stance": "warn", "quote": "It's ok, intelligent, almost SOTA, but way too expensive", "excerpt": "It's ok, intelligent, almost SOTA, but way too expensive [0], and some issues with API failing sometimes at the moment. [0]: https://aibenchy.com/compare/meta-muse-wonder-max/openai-gpt-6-1-sol-max/", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}, {"id": 801004816, "item_id": 50062801, "url": "https://news.ycombinator.com/item?id=50062801", "by": "dom96", "date": "2026-10-12", "version": null, "stance": "warn", "quote": "Muse Wonder isn't much better than Muse Spark 1.3", "excerpt": "I wish I could benchmark Muse Wonder Full, because Muse Wonder isn't much better than Muse Spark 1.3[1]. I created a brand new programming language designed to confuse LLMs[2] and created a model benchmark out of it. A lot of the tasks were failed because they exceeded the $5 budget though, so maybe it would have gone on to complete them, it just required a lot of funds to do so. Still, that's the benchmark, and it's", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}, {"id": 800979296, "item_id": 50061206, "url": "https://news.ycombinator.com/item?id=50061206", "by": "jjcm", "date": "2026-10-12", "version": null, "stance": "compare", "quote": "I'd put Muse Wonder somewhere between these two.", "excerpt": "Additional comparisons: Sonnet 5.5: https://html.non.io/lcars-sonnet-5.5/ Haiku 5.5: https://html.non.io/lcars-haiku-5.5/ I'd put Muse Wonder somewhere between these two.", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}, {"id": 800973408, "item_id": 50060838, "url": "https://news.ycombinator.com/item?id=50060838", "by": "simonw", "date": "2026-10-12", "version": null, "stance": "recommend", "quote": "Some pretty decent pelicans:", "excerpt": "Some pretty decent pelicans: https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/185cff7ff0b11379725abf7f78d5d2b2 Here's Muse Spark 1.2 in August for comparison: https://tools.simonwillison.net/markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fce974a21202b0595e36ec2a5ddb51480 And since I seem to have missed doing pelicans for Muse 1.3 in September, I just ran thos", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}, {"id": 800972848, "item_id": 50060803, "url": "https://news.ycombinator.com/item?id=50060803", "by": "jjcm", "date": "2026-10-12", "version": null, "stance": "warn", "quote": "It's much worse than Opus 5.5.", "excerpt": "Image->HTML test for Muse Wonder. It's much worse than Opus 5.5. IMO it's closer to Sonnet or Haiku for this test. Muse Wonder (high): https://html.non.io/lcars-muse-wonoder/ Opus 5.5 (high): https://html.non.io/lcars-opus-5.5/ Original design: https://diffui.ai/app/canvas/5093e689-1e74-4f26-b632-2a4500f0da97?share=65ac3348-895b-4264-824e-b5f343040009 I was expecting much more given the benchmark numbers it was putti", "context": "", "use_case": "Image to HTML", "switched_from": "", "story": "Muse Wonder"}, {"id": 800960144, "item_id": 50060009, "url": "https://news.ycombinator.com/item?id=50060009", "by": "droidjj", "date": "2026-10-12", "version": null, "stance": "neutral", "quote": "Pricing is available here: https://dev.meta.ai/models/muse-wonder", "excerpt": "Pricing is available here: https://dev.meta.ai/models/muse-wonder Input -- $4.00 Cached input -- $0.20 Output -- $20.00 Edit: Upon closer inspection, the benchmark scores for \"Muse Wonder\" on the main marketing page are actually for \"Muse Wonder Full,\" which is only available on the higher-tier subscription plans. This pricing is for \"Muse Wonder.\"", "context": "", "use_case": "", "switched_from": "", "story": "Muse Wonder"}]}