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DeepSeek R1 Distill Llama 8B vs Llama 4 Scout

DeepSeek R1 Distill Llama 8B and Llama 4 Scout are closely matched at 7.1 and 7.9 on the LLM Stats Score.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B and Llama 4 Scout are closely matched on the overall LLM Stats Score at 7.1 and 7.9.

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 Llama 8B

  • you are already invested in the DeepSeek ecosystem

Choose Llama 4 Scout

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

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Llama 4 Scout
Meta
Core performance indexes
LLM Stats Score
7.1
#288
7.9
#281
Reasoning
7.4
#280
6.7
#284
Coding
2.5
#222
0.4
#238
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.08 / M
Output price
— / M
$0.30 / M
Context window
—
10,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Llama 4 Scout
Math
10.8#247
12.8#231
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 12 for Llama 4 Scout

2 shared

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.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Meta
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
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.6 years ago

Llama 4 Scout

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 Llama 8B and Llama 4 Scout side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Llama 4 Scout
Open in Playground

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?

DeepSeek R1 Distill Llama 8B and Llama 4 Scout are closely matched on the LLM Stats Score at 7.1 and 7.9. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (7.1 vs 7.9), 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 Llama 8B and Llama 4 Scout?

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

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