Muse Glimmer 30B Open vs 
o4 Mini Paid
Muse Glimmer 30B vs o4 Mini compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$1.1 /M outputNo per-token fees if you self-host
$4.4 /M outputManaged API (no infra to run)
Muse Glimmer 30B vs o4 Mini specs
| Spec | Muse Glimmer 30B | o4 Mini | Winner |
|---|---|---|---|
| Maker | Meta | OpenAI | – |
| Type | Open-weight | Proprietary | |
| Context window | 131K tokens | 200K tokens | |
| Input price | $0.3/M · free self-host | $1.1/M | |
| Output price | $1.1/M · free self-host | $4.4/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | Open weights | Proprietary |
Price gap & when to choose each
Muse Glimmer 30B is ~4.0× cheaper than o4 Mini on output tokens ($1.1 vs $4.4 per M tokens).
- You want to self-host or run on your cloud
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You need the longer 200K context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Muse Glimmer 30B | o4 Mini |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: Muse Glimmer 30B vs o4 Mini
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Muse Glimmer 30B and o4 Mini score
| Criterion | Muse Glimmer 30B | o4 Mini |
|---|---|---|
| Cost-efficiency | 4.5 | 4.0 |
| Context window | 3.5 | 4.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Muse Glimmer 30B Open
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
o4 Mini Paid
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Muse Glimmer 30B as good as o4 Mini?
Muse Glimmer 30B is open-weight and competitive on many tasks, but o4 Mini may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Muse Glimmer 30B locally?
Yes. Muse Glimmer 30B has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. o4 Mini is API-only and cannot be self-hosted.
How much cheaper is Muse Glimmer 30B?
Muse Glimmer 30B costs $1.1/M output vs $4.4/M for o4 Mini — roughly 4x cheaper via API, and free if you self-host.
Muse Glimmer 30B vs o4 Mini — which should I pick in 2026?
Choose Muse Glimmer 30B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose o4 Mini if you want frontier capability through a managed API with zero infrastructure to run.
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