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DeepSeek VL2 Small vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 1.5.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 1.5, ranking #5 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 Spark 1.3

  • overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
1.5
#308
55.4
#5
Reasoning
-3.5
#325
53.0
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

14 reported for DeepSeek VL2 Small · 11 for Muse Spark 1.3

No common benchmarks found

DeepSeek VL2 Small and Muse Spark 1.3don'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 Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and Muse Spark 1.3 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 Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Muse Spark 1.3 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 Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 21 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

Muse Spark 1.3

Sep 2, 2026

0 days ago

1.7yr 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Muse Spark 1.3.

Which is better, DeepSeek VL2 Small or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 1.5. DeepSeek VL2 Small is made by DeepSeek and Muse Spark 1.3 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 Spark 1.3 in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for DeepSeek VL2 Small and Muse Spark 1.3?

DeepSeek VL2 Small supports an unknown number of tokens and Muse Spark 1.3 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 Spark 1.3?

Key differences include LLM Stats Score (1.5 vs 55.4), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Muse Spark 1.3?

DeepSeek VL2 Small is developed by DeepSeek and Muse Spark 1.3 is developed by Meta.

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