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DeepSeek R1 Distill Qwen 14B vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 10.3.

DeepSeek · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 10.3, ranking #133 overall.

In the 1 individual benchmarks reported for both models, Particle-1 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 need open weights you can self-host or fine-tune

Choose Particle-1

  • overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
  • your work emphasizes reasoning — 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
10.3
#296
31.9
#133
10.7
#292
31.2
#135
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 3 for Particle-1

1 shared

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

Particle-1 significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Particle-1 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Particle-1 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

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Particle-1 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

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Particle-1 was released on 2026-10-28.

Particle-1 is 22 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.8 years ago

Particle-1

Oct 28, 2026

2 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 Particle-1 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Particle-1.

Which is better, DeepSeek R1 Distill Qwen 14B or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 10.3. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Particle-1 is made by Particle AI. 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 Particle-1 in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Particle-1?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Particle-1 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 Particle-1?

Key differences include LLM Stats Score (10.3 vs 31.9), 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 Particle-1?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Particle-1 is developed by Particle AI.