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DeepSeek R1 Distill Qwen 14B vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to 10.2.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 10.2, ranking #47 overall.

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

Choose DeepSeek R1 Distill Qwen 14B

  • 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
10.2
#307
45.9
#47
10.6
#302
48.1
#24
5.4
#238
27.3
#85
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 6 for Muse Ember

No common benchmarks found

DeepSeek R1 Distill Qwen 14B 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 R1 Distill Qwen 14B
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

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

Muse Ember 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 Ember

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Muse Ember uses a proprietary 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 Ember

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Muse Ember was released on 2026-11-09.

Muse Ember is 22 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.8 years ago

Muse Ember

Nov 9, 2026

3 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 R1 Distill Qwen 14B and Muse Ember side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Muse Ember leads the LLM Stats Score 45.9 to 10.2. DeepSeek R1 Distill Qwen 14B 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 R1 Distill Qwen 14B compare to Muse Ember in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. 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 R1 Distill Qwen 14B and Muse Ember?

DeepSeek R1 Distill Qwen 14B 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 R1 Distill Qwen 14B and Muse Ember?

Key differences include LLM Stats Score (10.2 vs 45.9), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Muse Ember?

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