Model Comparison

DeepSeek R1 Distill Llama 8B vs Llama 4 Scout

Both models are evenly matched across the benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (LiveCodeBench), while Llama 4 Scout is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

101.0B diff

Llama 4 Scout has 101.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 1257.4% larger.

DeepSeek R1 Distill Llama 8B

8.0Bparameters

Llama 4 Scout

109.0Bparameters

8.0B

DeepSeek R1 Distill Llama 8B

109.0B

Llama 4 Scout

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

DeepSeek R1 Distill Llama 8B

Input- tokens

Output- tokens

Llama 4 Scout

Input10,000,000 tokens

Output10,000,000 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text

Images

Audio

Video

Llama 4 Scout

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Llama 4 Scout 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 Llama 8B

MIT

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 3 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

Llama 4 Scout

Apr 5, 2025

1.1 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→

Key Takeaways

DeepSeek R1 Distill Llama 8B

View details

DeepSeek

Higher LiveCodeBench score (39.6% vs 32.8%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek R1 Distill Llama 8B	Llama 4 Scout

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Llama 4 Scout.

Which is better, DeepSeek R1 Distill Llama 8B or Llama 4 Scout?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 8B compare to Llama 4 Scout in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Llama 4 Scout?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Llama 4 Scout supports 10.0M 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 Llama 8B and Llama 4 Scout?

Key differences include 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 Llama 8B and Llama 4 Scout?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Llama 4 Scout is developed by Meta.