MiMo-V2.6-Flash vs Muse Glimmer-30B
MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 35.0.
Xiaomi · Meta · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 35.0, ranking #29 overall.
In the 2 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.6-Flash
- overall performance matters — it scores 45.7 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Muse Glimmer-30B
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 25 for Muse Glimmer-30B
MiMo-V2.6-Flash outperforms in 2 benchmarks (OSWorld-Verified, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.
MiMo-V2.6-Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MiMo-V2.6-Flash has 279.4B more parameters than Muse Glimmer-30B, making it 943.9% larger.
Context Window
Maximum input and output token capacity
Only Muse Glimmer-30B specifies input context (131,072 tokens). Only Muse Glimmer-30B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Flash and Muse Glimmer-30B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Flash
Muse Glimmer-30B
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while Muse Glimmer-30B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
MiMo-V2.6-Flash was released on 2026-09-22, while Muse Glimmer-30B was released on 2026-08-10.
MiMo-V2.6-Flash is 1 month newer than Muse Glimmer-30B.
Sep 22, 2026
-1 days ago
1mo newerAug 10, 2026
1 months ago
Knowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while MiMo-V2.6-Flash'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 MiMo-V2.6-Flash's cutoff date.
—
Jan 2026
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Muse Glimmer-30B.