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DeepSeek R1 Distill Llama 8B vs Grok-2

DeepSeek R1 Distill Llama 8B and Grok-2 are closely matched at 7.0 and 11.4 on the LLM Stats Score.

DeepSeek · xAI · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B and Grok-2 are closely matched on the overall LLM Stats Score at 7.0 and 11.4.

In the 1 individual benchmarks reported for both models, Grok-2 wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek R1 Distill Llama 8B

  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose Grok-2

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
7.0
#296
11.4
#264
7.3
#288
11.4
#261
2.5
#230
9.2
#180
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Grok-2
10.8#249
18.2#184
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 8 for Grok-2

1 shared

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Grok-2 is better at 1 benchmark (GPQA).

Grok-2 significantly outperforms across most benchmarks.

Sun Sep 27 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok-2 specifies input context (128,000 tokens). Only Grok-2 specifies output context (8,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
Sun Sep 27 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok-2 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Grok-2 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-2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Grok-2 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-2

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Grok-2 was released on 2024-08-13.

DeepSeek R1 Distill Llama 8B is 5 months newer than Grok-2.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

5mo newer
Grok-2

Aug 13, 2024

2.1 years ago

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 Grok-2 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Grok-2
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Grok-2.

Which is better, DeepSeek R1 Distill Llama 8B or Grok-2?

DeepSeek R1 Distill Llama 8B and Grok-2 are closely matched on the LLM Stats Score at 7.0 and 11.4. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Grok-2 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-2 in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Grok-2?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Grok-2 supports 128K 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-2?

Key differences include LLM Stats Score (7.0 vs 11.4), 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-2?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Grok-2 is developed by xAI.