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DeepSeek R1 Distill Llama 70B vs Gemma 2 9B

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.6 to -4.8.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.6 to -4.8, ranking #233 overall.

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

Choose DeepSeek R1 Distill Llama 70B

  • overall performance matters — it scores 14.6 and ranks #233 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Gemma 2 9B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 70B
DeepSeek
Gemma 2 9B
Google
Core performance indexes
LLM Stats Score
14.6
#233
-4.8
#352
Reasoning
14.8
#226
-5.1
#345
Coding
8.6
#177
-11.0
#263
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
Gemma 2 9B
Math
16.5#201
-3.8#313
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 16 for Gemma 2 9B

No common benchmarks found

DeepSeek R1 Distill Llama 70B and Gemma 2 9Bdon'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

61.4B diff

DeepSeek R1 Distill Llama 70B has 61.4B more parameters than Gemma 2 9B, making it 664.1% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Google
Gemma 2 9B
9.2Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
9.2B
Gemma 2 9B

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 2 9B
Input- tokens
Output- tokens
Wed Sep 09 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Gemma 2 9B uses Gemma.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Gemma 2 9B was released on 2024-06-27.

DeepSeek R1 Distill Llama 70B is 7 months newer than Gemma 2 9B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.6 years ago

6mo newer
Gemma 2 9B

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 70B and Gemma 2 9B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
Gemma 2 9B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Gemma 2 9B.

Which is better, DeepSeek R1 Distill Llama 70B or Gemma 2 9B?

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.6 to -4.8. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Gemma 2 9B 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 70B compare to Gemma 2 9B in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Gemma 2 9B?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Gemma 2 9B supports an unknown number of 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 70B and Gemma 2 9B?

Key differences include LLM Stats Score (14.6 vs -4.8), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Gemma 2 9B?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Gemma 2 9B is developed by Google.

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