> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kymaapi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Muse Glimmer 30B

> Meta's open-weight (Apache 2.0) 30B dense multimodal model, distilled from Muse Spark and tuned for local agentic work. Vision + reasoning, single-GPU friendly.

## Overview

Meta's open-weight (Apache 2.0) 30B dense multimodal model, distilled from Muse Spark and tuned for local agentic work. Vision + reasoning, single-GPU friendly.

## Specs

| Field | Value |
| - | - |
| Model ID | `muse-glimmer-30b` |
| Best for | Open-weight multimodal agents at lower cost |
| Context window | 131,072 |
| Max output tokens | 8K |
| Input modalities | Text, Image |
| Output modalities | Text |
| Tool calling | Yes |
| Structured outputs | Yes |
| Prompt caching | No |
| Vision | Yes |
| Reasoning | Yes |
| Speed | Fast |
| Cost band | Balanced |
| Release stage | Stable |

## Pricing

| | Per 1M tokens |
| - | :-: |
| Input | \$0.405 |
| Output | \$1.62 |

## Example

```python theme={null}
from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

response = client.chat.completions.create(
    model="muse-glimmer-30b",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],  # function calling supported
)
```

## Agent query example

Ask the API which models fit, instead of hardcoding an id:

```bash theme={null}
curl "https://kymaapi.com/v1/models?recommended_for=chat&tools=true&quality_tier=strong"
```


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