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DeepSeek VL2 Small vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to 0.6.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 0.6, ranking #47 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2 Small

  • 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 want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
Muse Ember
Meta
Core performance indexes
LLM Stats Score
0.6
#368
45.9
#47
Reasoning
-4.5
#386
48.1
#24
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Small
Muse Ember
Vision
0.1#213
23.4#78
Multimodal
2.6#171
23.6#74
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Small · 6 for Muse Ember

No common benchmarks found

DeepSeek VL2 Small 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

Only Muse Ember specifies input context (1,048,576 tokens). Only Muse Ember specifies output context (524,288 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and Muse Ember support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Small

Text
Images
Audio
Video

Muse Ember

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small 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 VL2 Small

deepseek

Open weights

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Muse Ember was released on 2026-11-09.

Muse Ember is 23 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.9 years ago

Muse Ember

Nov 9, 2026

3 days ago

1.9yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Muse Ember side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Muse Ember.

Which is better, DeepSeek VL2 Small or Muse Ember?

Muse Ember leads the LLM Stats Score 45.9 to 0.6. DeepSeek VL2 Small is made by DeepSeek and Muse Ember is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Small compare to Muse Ember in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Muse Ember scores PerceptionBench: 80.6%, OSWorld 2.1 (partial): 69.5%, Agents' Last Exam: 61.6%, Personal Superintelligence Index: 46.8%, Terminal-Bench 4.0: 40.9%.

What are the context window sizes for DeepSeek VL2 Small and Muse Ember?

DeepSeek VL2 Small supports an unknown number of tokens and Muse Ember supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Small and Muse Ember?

Key differences include LLM Stats Score (0.6 vs 45.9), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Muse Ember?

DeepSeek VL2 Small is developed by DeepSeek and Muse Ember is developed by Meta.

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