DeepSeek VL2 vs Muse Ember
Muse Ember leads the LLM Stats Score 45.9 to 2.3.
DeepSeek · Meta · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to 2.3, ranking #47 overall.
Muse Ember 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 DeepSeek VL2
- you need open weights you can self-host or fine-tune
Choose Muse Ember
- overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DeepSeek VL2 · 6 for Muse Ember
DeepSeek VL2 and Muse Emberdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Muse Ember accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while DeepSeek VL2 is limited to 129,280 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 and Muse Ember support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2
Muse Ember
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while Muse Ember uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while Muse Ember was released on 2026-11-09.
Muse Ember is 23 months newer than DeepSeek VL2.
Dec 13, 2024
1.9 years ago
Nov 9, 2026
5 days ago
1.9yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek VL2 is available from Replicate. Muse Ember is available from Meta Model API.
DeepSeek VL2
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs Muse Ember.