Model Comparison

DeepSeek R1 Distill Qwen 32B vs DeepSeek R1 Zero

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Sat May 02 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
Sat May 02 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
DeepSeek
DeepSeek R1 Zero
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

638.2B diff

DeepSeek R1 Zero has 638.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 1945.7% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
DeepSeek
DeepSeek R1 Zero
671.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
671.0B
DeepSeek R1 Zero

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
DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

DeepSeek R1 Zero

MIT

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-01-20.

They likely represent similar generations of model development.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

DeepSeek R1 Zero

Jan 20, 2025

1.3 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

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Key Takeaways

DeepSeek
Larger context window (128,000 tokens)
Higher LiveCodeBench score (57.2% vs 50.0%)
DeepSeek
Higher AIME 2024 score (86.7% vs 83.3%)
Higher GPQA score (73.3% vs 62.1%)
Higher MATH-500 score (95.9% vs 94.3%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Zero

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs DeepSeek R1 Zero

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and DeepSeek R1 Zero is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and DeepSeek R1 Zero supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.