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DeepSeek R1 Distill Qwen 14B vs Llama 4 Maverick

DeepSeek R1 Distill Qwen 14B and Llama 4 Maverick are closely matched at 11.1 and 14.9 on the LLM Stats Score.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 14B and Llama 4 Maverick are closely matched on the overall LLM Stats Score at 11.1 and 14.9.

The models split the 2 individual benchmarks reported for both models evenly.

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 Llama 4 Maverick

  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
11.1
#248
14.9
#220
11.4
#244
14.6
#217
5.6
#190
3.2
#210
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.17 / M
Output price
— / M
$0.60 / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 14B
Llama 4 Maverick
13.5#219
20.6#148
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 13 for Llama 4 Maverick

2 shared

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (LiveCodeBench), while Llama 4 Maverick is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

385.2B diff

Llama 4 Maverick has 385.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 2602.7% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 4 Maverick supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Llama 4 Maverick 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

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Llama 4 Maverick uses Llama 4 Community License Agreement.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Llama 4 Maverick was released on 2025-04-05.

Llama 4 Maverick is 3 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

Llama 4 Maverick

Apr 5, 2025

1.4 years ago

2mo 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 R1 Distill Qwen 14B and Llama 4 Maverick side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Llama 4 Maverick.

Which is better, DeepSeek R1 Distill Qwen 14B or Llama 4 Maverick?

DeepSeek R1 Distill Qwen 14B and Llama 4 Maverick are closely matched on the LLM Stats Score at 11.1 and 14.9. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Llama 4 Maverick 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 Llama 4 Maverick in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Llama 4 Maverick?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Llama 4 Maverick 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 Llama 4 Maverick?

Key differences include LLM Stats Score (11.1 vs 14.9), multimodal support (no vs yes), licensing (MIT vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Llama 4 Maverick?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Llama 4 Maverick is developed by Meta.