Muse Glimmer 30B
Meta's first open release since Llama 4: a 29.6B dense model (including a 1.8B perception encoder) distilled from Muse Spark, tuned for agentic tasks on a single consumer GPU, under Apache 2.0.
- Params
- 29.6B
- Context
- 131K tokens
- Cutoff
- Released
- License
- Apache 2.0
Hosted API price
Cheapest via EmpirioLabs AI · per 1M tokens
- Input
- $0.20 /1M
- Output
- $0.80 /1M
- Hosted by
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3 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Muse Glimmer 30B, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
|
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$0.20 | $0.80 | $0.05 | $3.60 | Visit website |
|
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$0.35 | $1.50 | $0.04 | $6.50 | Visit website |
|
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Open weights, no hosted price | Visit website | |||
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Muse Glimmer 30B needs about 22 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 2× RTX 4060 Ti at about $173 a month.
That costs the same as roughly 576M tokens a month on EmpirioLabs AI's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 22 GB |
|
$173 | 576M tokens /mo |
| 8-bit FP8 / INT8 | 40 GB |
|
$202 | 672M tokens /mo |
| 16-bit FP16 / BF16 | 69 GB |
|
$403 | 1B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. KV cache assumed at 250 KB per token, a conservative default. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest Muse Glimmer 30B by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Muse Glimmer 30B |
|---|---|---|---|---|---|---|
|
|
$0.23 | $0.08 | $0.98 | 262K | −23% | |
|
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$0.24 | $0.16 | $0.64 | 10M | Aug 2024 | −20% |
|
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$0.2533 | $0.12 | $0.92 | 262K | −16% | |
|
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$0.2833 | $0.20 | $0.70 | 1M | Aug 2024 | −6% |
|
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$0.2833 | $0.20 | $0.70 | 262K | −6% | |
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$0.30 | $0.20 | $0.80 | 131K | Jan 2026 | |
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$0.30 | $0.30 | $0.30 | 33K | 0% | |
|
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$0.30 | $0.20 | $0.80 | 33K | 0% | |
|
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$0.3133 | $0.17 | $1.03 | 262K | +4% | |
|
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$0.3167 | $0.20 | $0.90 | 1M | +6% | |
|
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$0.325 | $0.15 | $1.20 | 262K | +8% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Muse Glimmer 30B accepts and can do, as published by Meta.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
Common questions
What is Muse Glimmer 30B good for?
Local agents and coding agents. Apache 2.0 weights, sized to fit a single consumer GPU.
When is Muse Glimmer 30B not a good fit?
Video input, structured output, web search or MCP, none of which it has. In Meta's lineup those come with the closed-weight Muse Spark API models.
What is the cheapest way to run Muse Glimmer 30B?
Hosted, unless you push serious volume. EmpirioLabs AI charges $0.20 in / $0.80 out per 1M tokens. The cheapest rental that fits is 2x RTX 4060 Ti at $173 a month, which costs the same as about 576M tokens a month on that API.
Can I self-host Muse Glimmer 30B?
Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 22 GB of GPU memory, which starts at roughly $173 a month on the cheapest rental that fits.
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