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DeepSeek R1 Distill Llama 8B vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 7.0.

DeepSeek · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 7.0, ranking #23 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 8B

  • you need open weights you can self-host or fine-tune

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
7.0
#293
48.5
#23
Reasoning
7.3
#285
37.4
#69
Coding
2.5
#227
40.1
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
500,000

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 23 for Grok 4.7

No common benchmarks found

DeepSeek R1 Distill Llama 8B and Grok 4.7don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Grok 4.7 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 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Grok 4.7 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 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 20 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

Grok 4.7

Sep 21, 2026

0 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

—

Grok 4.7

Jun 2026

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 Grok 4.7 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Grok 4.7.

Which is better, DeepSeek R1 Distill Llama 8B or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 7.0. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Grok 4.7 is made by xAI. 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 Grok 4.7 in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Grok 4.7?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Grok 4.7 supports 500K 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 4.7?

Key differences include LLM Stats Score (7.0 vs 48.5), 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 4.7?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Grok 4.7 is developed by xAI.

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