Muse Glimmer-30B vs Particle-1
Muse Glimmer-30B and Particle-1 are closely matched at 34.8 and 31.9 on the LLM Stats Score. Particle-1 is 1.2x cheaper per token.
Meta · Particle AI · Updated for 2026
Which is better?
Muse Glimmer-30B and Particle-1 are closely matched on the overall LLM Stats Score at 34.8 and 31.9.
In the 1 individual benchmarks reported for both models, Particle-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Particle-1 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Particle-1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Glimmer-30B
- you need open weights you can self-host or fine-tune
Choose Particle-1
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
32 reported for Muse Glimmer-30B · 3 for Particle-1
Muse Glimmer-30B outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).
Particle-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Glimmer-30B ($0.30/1M tokens) is 1.2x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Muse Glimmer-30B ($1.20/1M tokens) is 1.2x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, Muse Glimmer-30B is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to Muse Glimmer-30B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Glimmer-30B and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Glimmer-30B
Particle-1
License
Usage and distribution terms
Muse Glimmer-30B is licensed under Apache 2.0, while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Glimmer-30B was released on 2026-08-10, while Particle-1 was released on 2026-10-28.
Particle-1 is 3 months newer than Muse Glimmer-30B.
Aug 10, 2026
2 months ago
Oct 28, 2026
-1 days ago
2mo newerKnowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while Particle-1's cutoff date is not specified.
We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without Particle-1's cutoff date.
Jan 2026
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Provider Availability
Muse Glimmer-30B is available from DeepInfra. Particle-1 is available from Particle AI.
Muse Glimmer-30B
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Glimmer-30B and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Glimmer-30B vs Particle-1.