meta-models/Muse-Glimmer-30B pricing
Muse Glimmer is a 30B multimodal agentic model distilled from Muse Spark — reasoning, tool use, and failure recovery in a single model that runs locally on consumer hardware. meta-models/Muse-Glimmer-30B from DeepInfra costs $0.300 per 1M input tokens and $1.20 per 1M output tokens. Cached input is $0.040 per 1M. Context window 131,072 tokens.
API id meta-models/Muse-Glimmer-30B · DeepInfra · source · updated 2026-11-10 · general-purpose
$0.300
Input / 1M tokens
$1.20
Output / 1M tokens
$0.040
Cached input / 1M
131K
Context window
meta-models/Muse-Glimmer-30B specifications
- Provider
- DeepInfra
- API id
meta-models/Muse-Glimmer-30B- Model type
- general-purpose
- Context window
- 131K tokens
- Max output
- not published
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-11-10
What meta-models/Muse-Glimmer-30B costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0009 |
| Document summary | 50,000 | 2,000 | $0.02 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $0.54 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does meta-models/Muse-Glimmer-30B cost per 1M tokens?
- meta-models/Muse-Glimmer-30B costs $0.300 per 1M input tokens and $1.20 per 1M output tokens on the standard tier. Cached input is $0.040 per 1M.
- What is meta-models/Muse-Glimmer-30B's context window?
- meta-models/Muse-Glimmer-30B accepts up to 131,072 tokens in a single request.
- Is there a cheaper DeepInfra model than meta-models/Muse-Glimmer-30B?
- Yes. inclusionAI/Ling-3.0-flash-VL is $0.060 per 1M input tokens versus $0.300 for meta-models/Muse-Glimmer-30B, with a 131,072 token context window.
- Where does this meta-models/Muse-Glimmer-30B price come from?
- From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.
Head-to-head comparisons
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