Muse Glimmer 30B vs Grok Build 0.1
At a Glance
| Compare |  Muse Glimmer 30BMeta | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 22, 2026 | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Deepinfra ↗ · Sep 22, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 256K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Muse Glimmer 30B | Grok Build 0.1 |
|---|---|---|
| Developer | Meta | xAI |
| Family | Muse Glimmer | Grok Build |
| Model | Muse Glimmer 30B | Grok Build 0.1 |
| Version | Muse Glimmer 30B | Grok Build 0.1 |
| Lifecycle | active | preview |
| Released | 2026-08-09 | 2026-05-29 |
| Knowledge cutoff | 2026-01-04 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 256K |
| Total parameters | 29.8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
Muse Glimmer 30B Capabilities
Grok Build 0.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Muse Glimmer 30B vs Grok Build 0.1 FAQs
Is Muse Glimmer 30B or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Glimmer 30B or Grok Build 0.1?+
Muse Glimmer 30B is $0.30 and Grok Build 0.1 is $1.00 per million tokens, so Muse Glimmer 30B is cheaper on this metric. Muse Glimmer 30B is $1.20 and Grok Build 0.1 is $2.00 per million tokens, so Muse Glimmer 30B is cheaper on this metric.
Which has a larger context window, Muse Glimmer 30B or Grok Build 0.1?+
Grok Build 0.1 has the larger sourced context window. Muse Glimmer 30B supports 131K and Grok Build 0.1 supports 256K.
Which performs better in benchmarks, Muse Glimmer 30B or Grok Build 0.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Muse Glimmer 30B or Grok Build 0.1 be self-hosted?+
Muse Glimmer 30B is the only model in this pair currently marked as self-hostable. Muse Glimmer 30B is open weight; Grok Build 0.1 is not marked open weight.
Can Muse Glimmer 30B and Grok Build 0.1 understand images?+
Muse Glimmer 30B is documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Glimmer 30B or Grok Build 0.1?+
Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Grok Build 0.1 is —.
Do Muse Glimmer 30B and Grok Build 0.1 support reasoning and tool use?+
Muse Glimmer 30B: reasoning, tool calling, and image input. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Glimmer 30B or Grok Build 0.1?+
Muse Glimmer 30B has 3 sourced provider routes; Grok Build 0.1 has 1, so Muse Glimmer 30B has broader tracked availability.
Which offers better value, Muse Glimmer 30B or Grok Build 0.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.