DeepSeek-V4-Pro-0813 vs Muse Glimmer-30B
DeepSeek-V4-Pro-0813 leads the LLM Stats Score 52.5 to 35.1.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 52.5 to 35.1, ranking #10 overall.
In the 2 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 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 DeepSeek-V4-Pro-0813
- overall performance matters — it scores 52.5 and ranks #10 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 Aug 2026
Choose Muse Glimmer-30B
- you are already invested in the Meta ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 25 for Muse Glimmer-30B
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1570.4B more parameters than Muse Glimmer-30B, making it 5305.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).
Input capabilities
Documented input modalities across available providers
Muse Glimmer-30B supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Muse Glimmer-30B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Muse Glimmer-30B
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 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
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Muse Glimmer-30B was released on 2026-08-10.
DeepSeek-V4-Pro-0813 is 0 month newer than Muse Glimmer-30B.
Aug 13, 2026
3 weeks ago
3d newerAug 10, 2026
3 weeks ago
Knowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while DeepSeek-V4-Pro-0813'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 DeepSeek-V4-Pro-0813's cutoff date.
—
Jan 2026
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Muse Glimmer-30B.