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DeepSeek VL2 Tiny vs Muse Wonder

Muse Wonder leads the LLM Stats Score 47.9 to -4.7.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 47.9 to -4.7, ranking #29 overall.

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

Choose DeepSeek VL2 Tiny

  • you need open weights you can self-host or fine-tune

Choose Muse Wonder

  • overall performance matters — it scores 47.9 and ranks #29 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 Tiny
DeepSeek
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
-4.7
#367
47.9
#29
Reasoning
-12.7
#378
33.1
#108
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$4.00 / M
Output price
— / M
$20.00 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Tiny
Muse Wonder
Vision
-5.2#213
25.4#53
Multimodal
-3.1#175
25.4#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 16 for Muse Wonder

No common benchmarks found

DeepSeek VL2 Tiny and Muse Wonderdon'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 Wonder specifies input context (1,048,576 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
Thu Oct 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and Muse Wonder support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

DeepSeek VL2 Tiny

deepseek

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

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

Muse Wonder is 22 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

Muse Wonder

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 Tiny and Muse Wonder side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Muse Wonder.

Which is better, DeepSeek VL2 Tiny or Muse Wonder?

Muse Wonder leads the LLM Stats Score 47.9 to -4.7. DeepSeek VL2 Tiny is made by DeepSeek and Muse Wonder 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 Tiny compare to Muse Wonder in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

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

DeepSeek VL2 Tiny supports an unknown number of tokens and Muse Wonder 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 Tiny and Muse Wonder?

Key differences include LLM Stats Score (-4.7 vs 47.9), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Muse Wonder?

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

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