Compare Muse Spark 1.1 from Meta and Muse Wonder from Meta on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Muse Spark 1.1Muse WonderMuse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context window.
Muse Wonder is Meta’s model for complex coding, long-running agents, and computer use. With a 1M-token context window, it plans multi-step tasks, delegates to sub-agents, and combines Active Memory with Active Focus to retain relevant context and sustain progress on challenging tasks.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Muse Spark 1.1: $4.675/M output tokens; Muse Wonder: $22/M. Use the cost calculator above to estimate your own workload.
Muse Spark 1.1 accepts 1,048,576 and Muse Wonder accepts 1,048,576 input tokens.
Muse Spark 1.1 accepts text, image, video, audio and PDF input and supports thinking and tool calling; Muse Wonder accepts text, image, video, audio and PDF input.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Related model match-ups readers also look at.