Output tokens cost $2.76 per million on glm-5.2 and $1.50 per million on muse-glimmer-30b. Input tokens cost $0.79 per million on glm-5.2 and $0.35 per million on muse-glimmer-30b. Cached input tokens are billed at $0.20 per million on glm-5.2 and $0.04 per million on muse-glimmer-30b. Discounted rates are shown where a promotion is active. Context lengths are 1,000,000 tokens on glm-5.2 and 131,000 tokens on muse-glimmer-30b. Time to first token (TTFT) measured on AIHubMix is 1.9s on glm-5.2 and 0.4s on muse-glimmer-30b. Measured output throughput is 48.0 tok/s on glm-5.2 and 42.5 tok/s on muse-glimmer-30b. On the LMArena coding leaderboard glm-5.2 scores 1506 and muse-glimmer-30b scores 1482.
glm-5.2
muse-glimmer-30bGLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
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; glm-5.2: $2.76/M. Use the cost calculator above to estimate your own workload.
glm-5.2: 1506; 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.
glm-5.2 accepts 1,000,000 and muse-glimmer-30b accepts 131,000 input tokens. Maximum output per request is 128,000 tokens on glm-5.2 and 131,000 tokens on muse-glimmer-30b.
glm-5.2 at 48.0 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.
glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; 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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