--- title: "Is Muse Wonder still undominated? · Undominated.ai" canonical: https://undominated.ai/check/meta__muse-wonder/ description: "Muse Wonder: whether it is still undominated. If anything in this catalogue has a higher score or a lower price with neither dimension worse, it is named, as of Oct 21, 2026. Unrated stays unrated." --- # Is Muse Wonder still undominated? · Undominated.ai > Muse Wonder: whether it is still undominated. If anything in this catalogue has a higher score or a lower price with neither dimension worse, it is named, as of Oct 21, 2026. Unrated stays unrated. # Is Muse Wonder a good deal? Whether anything in this catalogue beats Muse Wonder on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 12 undominated of 143 · Oct 21, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Oct 21, 2026, Muse Wonder is dominated for Balanced on LMArena. Gemini 4 Argon scores 29.3 higher at the same price, with a covering envelope. 12 of 143 rated, priced standard models are undominated. Gemini 4 Argon: Price under confirmation since Oct 21, 2026. [Inspect model evidence](/models/meta__muse-wonder/) [Compare differences & requirements](/compare/?models=meta%2Fmuse-wonder%2Cgoogle%2Fgemini-4-argon) Current model Muse Wonder Balanced 3 tokens in per 1 out Balanced Summarise Chat Code gen Agentic Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD) Gemini 4 Argon scores 29.3 points higher than Muse Wonder at the same price, $8.00 per million tokens for both. [Muse Wonder](https://undominated.ai/models/meta__muse-wonder/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1503.9 Effective $/M · Balanced · lower is better ** $8.00/M [Gemini 4 Argon](https://undominated.ai/models/google__gemini-4-argon/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1533.2 Effective $/M · Balanced · lower is better ** $8.00/M Price under confirmation since Oct 21, 2026 Muse Wonder takes text, image, video, file, audio, returns up to 943,718 tokens from a 1,048,576-token context, and is listed by 1 seller. Compared against 143 rated, priced models on this lens: 1 model dominates it and gives up nothing, 1 more dominates it but gives something up. Muse Wonder scores 1503.9 at $8.00 per million tokens for this mix. ## Envelope-safe replacements Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here. | Model | LMArena | Effective $/M | You save | | --- | --- | --- | --- | | [Gemini 4 Argon](/models/google__gemini-4-argon/) | 1533.2 +29.3 | $8.00/M Price under confirmation since Oct 21, 2026 | 0% | ## Higher score, lower price, named losses Not a drop-in. The loss is why these are not a recommendation. | Model | LMArena | Effective $/M | You give up | | --- | --- | --- | --- | | [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) | 1515.5 | $8.00/M | context, max output, video, audio | 143 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase. Copy watch URL [Open the frontier](/frontier/) The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link. ## Saved decision references Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications. Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs. Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored. Save this reference ## Continue your investigation - [Build a shortlist](/compare/) - [Inspect alternatives](/alternatives/) - [Check billing conditions](/traps/) - [Read model evidence](/models/)