Muse Glimmer 30B is a dense causal language model distilled from Muse Spark, designed for autonomous agent work. It combines multi-step reasoning, robust pattern-based tool invocation, and fault-recovery capabilities, and offers multimodal understanding via a ViT-G/14 perceptual encoder of roughly 1.8 billion parameters, supporting interleaved text and image inputs, a context window of over 131K tokens, and optional inference strength settings (from low to ultra-high). Muse Glimmer is trained on data in over 100 languages, performs strongly for its size on agent benchmarks including MCP Atlas, DeepSearch QA, Gaia2, and SWE-Bench Pro, and is released under the Apache 2.0 license.
muse-glimmer-30b vs qwen3.8-max-preview
Output tokens cost $1.50 per million on muse-glimmer-30b and $1.01 per million on qwen3.8-max-preview. Input tokens cost $0.35 per million on muse-glimmer-30b and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.04 per million on muse-glimmer-30b and $0.03 per million on qwen3.8-max-preview. Context lengths are 131,000 tokens on muse-glimmer-30b and 983,616 tokens on qwen3.8-max-preview. Time to first token (TTFT) measured on AIHubMix is 0.4s on muse-glimmer-30b and 2.4s on qwen3.8-max-preview. Measured output throughput is 42.5 tok/s on muse-glimmer-30b and 48.1 tok/s on qwen3.8-max-preview. On the LMArena coding leaderboard muse-glimmer-30b scores 1482 and qwen3.8-max-preview scores 1529.
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.
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-glimmer-30b, qwen3.8-max-preview?
qwen3.8-max-preview: $1.01/M output tokens; muse-glimmer-30b: $1.50/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
qwen3.8-max-preview: 1529; muse-glimmer-30b: 1482 (LMArena coding leaderboard).
Which responds faster?
muse-glimmer-30b: 0.4s 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-glimmer-30b accepts 131,000 and qwen3.8-max-preview accepts 983,616 input tokens. Maximum output per request is 131,000 tokens on muse-glimmer-30b and 131,072 tokens on qwen3.8-max-preview.
Which one generates tokens faster?
qwen3.8-max-preview at 48.1 tok/s and muse-glimmer-30b at 42.5 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-glimmer-30b accepts text and image 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.
Can I call muse-glimmer-30b and qwen3.8-max-preview 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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