The AI arena is free today

Open Superagent

DeepSeek R1 Distill Llama 70B vs Gemma 3 1B

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to -10.5.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.5 to -10.5, ranking #241 overall.

In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 2; 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 70B

  • overall performance matters — it scores 14.5 and ranks #241 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Gemma 3 1B

  • you want the most recent training data — it shipped Mar 2025

At a glance

The differences that matter most.

Core performance indexes
14.5
#241
-10.5
#373
14.7
#234
-12.2
#367
8.6
#185
-10.2
#270
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
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 3 1B
16.5#203
-9.2#326
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 18 for Gemma 3 1B

2 shared

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 1B is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Mon Sep 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

69.6B diff

DeepSeek R1 Distill Llama 70B has 69.6B more parameters than Gemma 3 1B, making it 6960.0% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Google
Gemma 3 1B
1.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
1.0B
Gemma 3 1B

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 3 1B
Input- tokens
Output- tokens
Mon Sep 28 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Gemma 3 1B 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 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Gemma 3 1B was released on 2025-03-12.

Gemma 3 1B is 2 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.7 years ago

Gemma 3 1B

Mar 12, 2025

1.5 years ago

1mo newer

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 3 1B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
Gemma 3 1B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Gemma 3 1B.

Which is better, DeepSeek R1 Distill Llama 70B or Gemma 3 1B?

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to -10.5. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Gemma 3 1B 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 3 1B in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Gemma 3 1B?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Gemma 3 1B 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 3 1B?

Key differences include LLM Stats Score (14.5 vs -10.5), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Gemma 3 1B?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Gemma 3 1B is developed by Google.