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DeepSeek R1 Distill Llama 8B vs Gemma 2 27B

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.0 to -0.7.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 7.0 to -0.7, ranking #296 overall.

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

Choose DeepSeek R1 Distill Llama 8B

  • overall performance matters — it scores 7.0 and ranks #296 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Gemma 2 27B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Gemma 2 27B
Google
Core performance indexes
LLM Stats Score
7.0
#296
-0.7
#336
Reasoning
7.3
#288
-1.1
#332
Coding
2.5
#230
-7.9
#269
Cost, coverage & limits
Benchmark wins
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Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Gemma 2 27B
Math
10.8#249
-0.7#298
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 16 for Gemma 2 27B

No common benchmarks found

DeepSeek R1 Distill Llama 8B and Gemma 2 27Bdon'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

Model Size

Parameter count comparison

19.2B diff

Gemma 2 27B has 19.2B more parameters than DeepSeek R1 Distill Llama 8B, making it 238.7% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Google
Gemma 2 27B
27.2Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
27.2B
Gemma 2 27B

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Gemma 2 27B uses Gemma.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Gemma 2 27B was released on 2024-06-27.

DeepSeek R1 Distill Llama 8B is 7 months newer than Gemma 2 27B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

6mo newer
Gemma 2 27B

Jun 27, 2024

2.2 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 Gemma 2 27B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Gemma 2 27B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Gemma 2 27B.

Which is better, DeepSeek R1 Distill Llama 8B or Gemma 2 27B?

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.0 to -0.7. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Gemma 2 27B is made by Google. 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 Gemma 2 27B in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the main differences between DeepSeek R1 Distill Llama 8B and Gemma 2 27B?

Key differences include LLM Stats Score (7.0 vs -0.7), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Gemma 2 27B?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Gemma 2 27B is developed by Google.

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