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DeepSeek R1 Distill Qwen 14B vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 10.6.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 10.6, ranking #43 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek R1 Distill Qwen 14B

  • you are already invested in the DeepSeek ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
10.6
#284
44.9
#43
10.9
#281
45.2
#39
5.4
#219
33.0
#42
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 14B
Muse Spark Open
13.3#239
31.6#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 17 for Muse Spark Open

1 shared

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

801.2B diff

Muse Spark Open has 801.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 5413.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Meta
Muse Spark Open
816.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Muse Spark Open uses Muse Model License.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 21 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.7 years ago

Muse Spark Open

Oct 15, 2026

2 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?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 14B and Muse Spark Open side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Muse Spark Open.

Which is better, DeepSeek R1 Distill Qwen 14B or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 10.6. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Muse Spark Open 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 R1 Distill Qwen 14B compare to Muse Spark Open in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Muse Spark Open?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Muse Spark Open 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 R1 Distill Qwen 14B and Muse Spark Open?

Key differences include LLM Stats Score (10.6 vs 44.9), multimodal support (no vs yes), licensing (MIT vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Muse Spark Open?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Muse Spark Open is developed by Meta.