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ModelCap

Head-to-head comparison

Muse Glimmer 30B vs GLM 4.6V

Muse Glimmer 30B (Meta) and GLM 4.6V (Z.ai) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 3 September 2026

As of 3 September 2026, GLM 4.6V holds the stronger ModelCap Index position (#81 vs #182); and GLM 4.6V is 1.2× cheaper per output token ($0.90/1M vs $1.10/1M).

Which should you choose?

Choose Muse Glimmer 30B if…

  • you want provider choice — 4 listed API providers against 2.
  • you want the more recently listed model — Muse Glimmer 30B was listed 9 August 2026, GLM 4.6V 8 December 2025.

Choose GLM 4.6V if…

  • you want the stronger overall ModelCap Index position — #81 against #182 (32.8 vs 16.1 points).
  • API cost matters — $0.90/1M output tokens against $1.10/1M, about 1.2× cheaper.

Muse Glimmer 30B vs GLM 4.6V: specs, pricing and context

Specification comparison of Muse Glimmer 30B and GLM 4.6V
FieldMuse Glimmer 30BMetaGLM 4.6VZ.ai
ModelCap Index position#182#81
Index score16.132.8
EvidenceMeasuredMeasured
Input price / 1M tokens$0.30$0.30
Output price / 1M tokens$1.10$0.90
Context window131K tokens131K tokens
Max output tokens118K33K
API providers listed42
Weight accessOpen weightsOpen weights
Input modalitiesText, ImageImage, Text, Video
First listed9 August 20268 December 2025
PublisherMetaZ.ai

Evidence: 1 public benchmark observation across 1 board · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Glimmer 30B vs GLM 4.6V

Public benchmark boards where Muse Glimmer 30B or GLM 4.6V has a published result
BoardMuse Glimmer 30BGLM 4.6VLeads
Arena codingArena (LMArena)—14161391–1442Only one result
AA Intelligence IndexArtificial Analysis—10.9intelligence-indexOnly one result
AA τ²-Bench TelecomArtificial Analysis—30.7%tau2-bench-telecomOnly one result
AA Humanity's Last ExamArtificial Analysis—3.7%humanitys-last-examOnly one result
WildClawBench OpenClawWildClawBench47.6—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Muse Glimmer 30B vs GLM 4.6V: common questions

Is Muse Glimmer 30B better than GLM 4.6V?

GLM 4.6V ranks higher on the ModelCap Index as of 3 September 2026: #81 against #182. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Muse Glimmer 30B cheaper than GLM 4.6V?

GLM 4.6V is cheaper on output tokens: $0.90/1M against $1.10/1M. Input tokens are $0.30/1M for Muse Glimmer 30B and $0.30/1M for GLM 4.6V. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Muse Glimmer 30B or GLM 4.6V?

Both publish a 131K-token context window.

Which is better for coding, Muse Glimmer 30B or GLM 4.6V?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Muse Glimmer 30B and GLM 4.6V open-weight models?

Muse Glimmer 30B: Open weights. GLM 4.6V: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Muse Glimmer 30B and GLM 4.6V?

ModelCap currently lists 4 API providers for Muse Glimmer 30B and 2 for GLM 4.6V, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Muse Glimmer 30B vs GLM 4.6V comparison?

Every figure comes from the sealed ModelCap dataset published 3 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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