Model Comparison

DeepSeek-R1 vs DeepSeek R1 Zero

Comparing DeepSeek-R1 and DeepSeek R1 Zero across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and DeepSeek R1 Zero don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 28 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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

0.0M diff

DeepSeek R1 Zero has 0.0B more parameters than DeepSeek-R1, making it 0.0% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
DeepSeek
DeepSeek R1 Zero
671.0Bparameters
671.0B
DeepSeek-R1
671.0B
DeepSeek R1 Zero

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Sat Mar 28 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

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

Jan 20, 2025

1.2 years ago

DeepSeek R1 Zero

Jan 20, 2025

1.2 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

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
DeepSeek

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
DeepSeek
DeepSeek R1 Zero

FAQ

Common questions about DeepSeek-R1 vs DeepSeek R1 Zero

DeepSeek-R1 (DeepSeek) and DeepSeek R1 Zero (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%.
DeepSeek-R1 supports 131K 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.