LongCat-2.5 vs Muse Glimmer-30B
LongCat-2.5 leads the LLM Stats Score 49.7 to 34.7. LongCat-2.5 and Muse Glimmer-30B cost the same.
Meituan · Meta · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 49.7 to 34.7, ranking #22 overall.
In the 4 individual benchmarks reported for both models, LongCat-2.5 wins 4; this is a narrower head-to-head signal than the composite indexes.
LongCat-2.5 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 LongCat-2.5
- overall performance matters — it scores 49.7 and ranks #22 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Muse Glimmer-30B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for LongCat-2.5 · 32 for Muse Glimmer-30B
LongCat-2.5 outperforms in 4 benchmarks (CharXiv-R, MCP Atlas, SkillsBench, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.
LongCat-2.5 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, LongCat-2.5 ($0.30/1M tokens) costs the same as Muse Glimmer-30B ($0.30/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) costs the same as Muse Glimmer-30B ($1.20/1M tokens).
In conclusion, LongCat-2.5 and Muse Glimmer-30B cost the same.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1570.4B more parameters than Muse Glimmer-30B, making it 5305.4% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 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 LongCat-2.5 and Muse Glimmer-30B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LongCat-2.5
Muse Glimmer-30B
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Muse Glimmer-30B was released on 2026-08-10.
LongCat-2.5 is 3 months newer than Muse Glimmer-30B.
Nov 1, 2026
1 weeks ago
2mo newerAug 10, 2026
3 months ago
Knowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while LongCat-2.5'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 LongCat-2.5's cutoff date.
—
Jan 2026
Provider Availability
LongCat-2.5 is available from Meituan. Muse Glimmer-30B is available from DeepInfra.
LongCat-2.5
Muse Glimmer-30B
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Muse Glimmer-30B.