Model Comparison

DeepSeek R1 Distill Llama 8B vs QwQ-32B-Preview

QwQ-32B-Preview shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (AIME 2024), while QwQ-32B-Preview is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).

QwQ-32B-Preview shows notably better performance in the majority of benchmarks.

Sun Mar 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Mar 29 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

24.5B diff

QwQ-32B-Preview has 24.5B more parameters than DeepSeek R1 Distill Llama 8B, making it 304.7% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Sun Mar 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while QwQ-32B-Preview was released on 2024-11-28.

DeepSeek R1 Distill Llama 8B is 2 months newer than QwQ-32B-Preview.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.2 years ago

1mo newer
QwQ-32B-Preview

Nov 28, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher AIME 2024 score (80.0% vs 50.0%)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)
Higher GPQA score (65.2% vs 49.0%)
Higher LiveCodeBench score (50.0% vs 39.6%)
Higher MATH-500 score (90.6% vs 89.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs QwQ-32B-Preview

QwQ-32B-Preview shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 8B is developed by DeepSeek and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.