Muse 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 Spark 1.1 vs Muse Spark 1.3
Compare Muse Spark 1.1 from Meta and Muse Spark 1.3 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 1.3 is Meta’s multimodal reasoning model, designed for long-running agentic, multi-agent, and complex coding workflows. It can maintain context and task constraints across extended workflows, reconcile conflicting information, and request clarification or confirmation when needed. Compared with Muse Spark 1.2, Muse Spark 1.3 improves efficiency across long-horizon agentic and coding tasks, with fewer unnecessary turns, tool calls, and tokens, while producing more concise outputs.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
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.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Muse Spark 1.1, Muse Spark 1.3?
Muse Spark 1.1: $4.675/M output tokens; Muse Spark 1.3: $4.675/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Muse Spark 1.1: 1.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Muse Spark 1.1 accepts 1,000,000 and Muse Spark 1.3 accepts 1,000,000 input tokens.
Which one generates tokens faster?
Muse Spark 1.1 at 125.1 tok/s and Muse Spark 1.3 at 82.3 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Muse Spark 1.1 accepts text, image, audio and video input and supports thinking and tool calling; Muse Spark 1.3 accepts text, image, audio and video input and supports thinking and tool calling.
Can I call Muse Spark 1.1 and Muse Spark 1.3 with the same API key?
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.
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