Output tokens cost $6.00 per million on grok-4.5 and $1.50 per million on muse-glimmer-30b. Input tokens cost $2.00 per million on grok-4.5 and $0.35 per million on muse-glimmer-30b. Cached input tokens are billed at $0.50 per million on grok-4.5 and $0.04 per million on muse-glimmer-30b. Context lengths are 500,000 tokens on grok-4.5 and 131,000 tokens on muse-glimmer-30b. Time to first token (TTFT) measured on AIHubMix is 2.5s on grok-4.5 and 0.4s on muse-glimmer-30b. Measured output throughput is 39.5 tok/s on grok-4.5 and 42.5 tok/s on muse-glimmer-30b. On the LMArena coding leaderboard grok-4.5 scores 1520 and muse-glimmer-30b scores 1482.
grok-4.5
muse-glimmer-30bGrok 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 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.
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-glimmer-30b: $1.50/M output tokens; grok-4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
grok-4.5: 1520; muse-glimmer-30b: 1482 (LMArena coding leaderboard).
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.
grok-4.5 accepts 500,000 and muse-glimmer-30b accepts 131,000 input tokens. Maximum output per request is 500,000 tokens on grok-4.5 and 131,000 tokens on muse-glimmer-30b.
muse-glimmer-30b at 42.5 tok/s and grok-4.5 at 39.5 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-glimmer-30b accepts text and image 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.
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