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DeepSeek VL2 vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 2.9.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 2.9, ranking #13 overall.

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 Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
2.9
#327
52.1
#13
Reasoning
-1.9
#345
38.4
#71
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2
Muse Wonder Full
Vision
2.1#180
31.7#28
Multimodal
5.0#150
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 · 16 for Muse Wonder Full

No common benchmarks found

DeepSeek VL2 and Muse Wonder Fulldon'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 DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and Muse Wonder Full support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Muse Wonder Full uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2

deepseek

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 22 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.8 years ago

Muse Wonder Full

Oct 12, 2026

-1 days ago

1.8yr 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 and Muse Wonder Full side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Muse Wonder Full.

Which is better, DeepSeek VL2 or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 2.9. DeepSeek VL2 is made by DeepSeek and Muse Wonder Full 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 compare to Muse Wonder Full in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for DeepSeek VL2 and Muse Wonder Full?

DeepSeek VL2 supports 129K tokens and Muse Wonder Full supports an unknown number of 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 and Muse Wonder Full?

Key differences include LLM Stats Score (2.9 vs 52.1), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Muse Wonder Full?

DeepSeek VL2 is developed by DeepSeek and Muse Wonder Full is developed by Meta.

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