Model Comparison

DeepSeek R1 Zero vs DeepSeek-V3.1

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Zero outperforms in 1 benchmarks (AIME 2024), while DeepSeek-V3.1 is better at 2 benchmarks (GPQA, LiveCodeBench).

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

0.0M diff

DeepSeek-V3.1 has 0.0B more parameters than DeepSeek R1 Zero, making it 0.0% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
DeepSeek
DeepSeek-V3.1
671.0Bparameters
671.0B
DeepSeek R1 Zero
671.0B
DeepSeek-V3.1

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Wed May 13 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 Zero

MIT

Open weights

DeepSeek-V3.1

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while DeepSeek-V3.1 was released on 2025-01-10.

DeepSeek R1 Zero is 0 month newer than DeepSeek-V3.1.

DeepSeek R1 Zero

Jan 20, 2025

1.3 years ago

1w newer
DeepSeek-V3.1

Jan 10, 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher AIME 2024 score (86.7% vs 66.3%)
DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 73.3%)
Higher LiveCodeBench score (56.4% vs 50.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
DeepSeek
DeepSeek-V3.1

FAQ

Common questions about DeepSeek R1 Zero vs DeepSeek-V3.1.

Which is better, DeepSeek R1 Zero or DeepSeek-V3.1?

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks. DeepSeek R1 Zero is made by DeepSeek and DeepSeek-V3.1 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to DeepSeek-V3.1 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.

What are the context window sizes for DeepSeek R1 Zero and DeepSeek-V3.1?

DeepSeek R1 Zero supports an unknown number of tokens and DeepSeek-V3.1 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.