The AI arena is free today

Open Superagent

DeepSeek R1 Distill Qwen 32B vs Llama 3.1 Nemotron 70B Instruct

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 12.7 to 0.1.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 12.7 to 0.1, ranking #271 overall.

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

Choose DeepSeek R1 Distill Qwen 32B

  • overall performance matters — it scores 12.7 and ranks #271 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Llama 3.1 Nemotron 70B Instruct

  • you are already invested in the NVIDIA ecosystem

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
12.7
#271
0.1
#348
Reasoning
13.0
#261
-0.2
#341
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
Llama 3.1 Nemotron 70B Instruct
Math
15.0#228
6.9#278
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and Llama 3.1 Nemotron 70B Instructdon'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

37.2B diff

Llama 3.1 Nemotron 70B Instruct has 37.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 113.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
70.0B
Llama 3.1 Nemotron 70B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Wed Oct 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

DeepSeek R1 Distill Qwen 32B is 4 months newer than Llama 3.1 Nemotron 70B Instruct.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.7 years ago

3mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Llama 3.1 Nemotron 70B Instruct.

Which is better, DeepSeek R1 Distill Qwen 32B or Llama 3.1 Nemotron 70B Instruct?

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 12.7 to 0.1. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Llama 3.1 Nemotron 70B Instruct is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 32B compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Llama 3.1 Nemotron 70B Instruct?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Llama 3.1 Nemotron 70B Instruct 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 Qwen 32B and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (12.7 vs 0.1), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Llama 3.1 Nemotron 70B Instruct?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

Related comparisons