Model Comparison

DeepSeek R1 Distill Llama 8B vs Grok-4

Grok-4 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Grok-4 is better at 2 benchmarks (GPQA, LiveCodeBench).

Grok-4 significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Grok-4 specifies input context (256,000 tokens). Only Grok-4 specifies output context (8,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
xAI
Grok-4
Input256,000 tokens
Output8,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Grok-4 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

Grok-4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Grok-4 uses a proprietary license.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Grok-4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Grok-4 was released on 2025-07-09.

Grok-4 is 6 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

Grok-4

Jul 9, 2025

10 months ago

5mo newer

Knowledge Cutoff

When training data ends

Grok-4 has a documented knowledge cutoff of 2024-12-31, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm Grok-4's training data extends to 2024-12-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

Grok-4

Dec 2024

Outputs Comparison

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Key Takeaways

Larger context window (256,000 tokens)
Supports multimodal inputs
Higher GPQA score (87.5% vs 49.0%)
Higher LiveCodeBench score (79.0% vs 39.6%)
DeepSeekDeepSeek R1 Distill Llama 8B
xAIGrok-4

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
xAI
Grok-4

FAQ

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

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

Grok-4 significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Grok-4 is made by xAI. 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 Grok-4 in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Grok-4 scores AIME 2025: 91.7%, HMMT25: 90.0%, GPQA: 87.5%, LiveCodeBench: 79.0%, Humanity's Last Exam: 40.0%.

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

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Grok-4 supports 256K 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 Grok-4?

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

Who makes DeepSeek R1 Distill Llama 8B and Grok-4?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Grok-4 is developed by xAI.