Output tokens cost $4.68 per million on muse-spark-1.1 and $1.01 per million on qwen3.8-max-preview. Input tokens cost $1.38 per million on muse-spark-1.1 and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $1.38 per million on muse-spark-1.1 and $0.03 per million on qwen3.8-max-preview. Context lengths are 1,000,000 tokens on muse-spark-1.1 and 983,616 tokens on qwen3.8-max-preview. Time to first token (TTFT) measured on AIHubMix is 5.9s on muse-spark-1.1 and 2.4s on qwen3.8-max-preview. Measured output throughput is 183.7 tok/s on muse-spark-1.1 and 48.1 tok/s on qwen3.8-max-preview. On the LMArena coding leaderboard muse-spark-1.1 scores 1531 and qwen3.8-max-preview scores 1528.
muse-spark-1.1
qwen3.8-max-previewMuse 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.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
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.
qwen3.8-max-preview: $1.01/M output tokens; muse-spark-1.1: $4.68/M. Use the cost calculator above to estimate your own workload.
muse-spark-1.1: 1531; qwen3.8-max-preview: 1528 (LMArena coding leaderboard).
qwen3.8-max-preview: 2.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
muse-spark-1.1 accepts 1,000,000 and qwen3.8-max-preview accepts 983,616 input tokens.
muse-spark-1.1 at 183.7 tok/s and qwen3.8-max-preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
muse-spark-1.1 accepts text, image, audio and video input and supports thinking and tool calling; qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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