Output tokens cost $6.00 per million on grok-4.5 and $4.68 per million on muse-spark-1.1. Input tokens cost $2.00 per million on grok-4.5 and $1.38 per million on muse-spark-1.1. Cached input tokens are billed at $0.50 per million on grok-4.5 and $1.38 per million on muse-spark-1.1. Context lengths are 1,000,000 tokens on grok-4.5 and 1,000,000 tokens on muse-spark-1.1. Time to first token (TTFT) measured on AIHubMix is 2.0s on grok-4.5 and 5.9s on muse-spark-1.1. Measured output throughput is 41.7 tok/s on grok-4.5 and 183.7 tok/s on muse-spark-1.1. On the LMArena coding leaderboard grok-4.5 scores 1521 and muse-spark-1.1 scores 1531.
grok-4.5
muse-spark-1.1Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
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.
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: $4.68/M output tokens; grok-4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
muse-spark-1.1: 1531; grok-4.5: 1521 (LMArena coding leaderboard).
grok-4.5: 2.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
grok-4.5 accepts 1,000,000 and muse-spark-1.1 accepts 1,000,000 input tokens.
muse-spark-1.1 at 183.7 tok/s and grok-4.5 at 41.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; muse-spark-1.1 accepts text, image, audio and video input and supports thinking and tool calling.
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.
AIHubMix