Model Comparison

Claude Sonnet 4 vs DeepSeek R1 Zero

Claude Sonnet 4 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude Sonnet 4 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Zero is better at 0 benchmarks.

Claude Sonnet 4 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Sonnet 4 specifies input context (200,000 tokens). Only Claude Sonnet 4 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4
Input200,000 tokens
Output64,000 tokens
DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Sonnet 4 supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Claude Sonnet 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Sonnet 4

Text
Images
Audio
Video

DeepSeek R1 Zero

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4 is licensed under a proprietary license, while DeepSeek R1 Zero uses MIT.

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

Claude Sonnet 4

Proprietary

Closed source

DeepSeek R1 Zero

MIT

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4 was released on 2025-05-22, while DeepSeek R1 Zero was released on 2025-01-20.

Claude Sonnet 4 is 4 months newer than DeepSeek R1 Zero.

Claude Sonnet 4

May 22, 2025

11 months ago

4mo newer
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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (75.4% vs 73.3%)
Has open weights
AnthropicClaude Sonnet 4
DeepSeekDeepSeek R1 Zero

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Sonnet 4
DeepSeek
DeepSeek R1 Zero

FAQ

Common questions about Claude Sonnet 4 vs DeepSeek R1 Zero.

Which is better, Claude Sonnet 4 or DeepSeek R1 Zero?

Claude Sonnet 4 significantly outperforms across most benchmarks. Claude Sonnet 4 is made by Anthropic and DeepSeek R1 Zero is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Sonnet 4 compare to DeepSeek R1 Zero in benchmarks?

Claude Sonnet 4 scores MMMLU: 86.5%, TAU-bench Retail: 80.5%, GPQA: 75.4%, MMMU: 74.4%, SWE-Bench Verified: 72.7%. DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%.

What are the context window sizes for Claude Sonnet 4 and DeepSeek R1 Zero?

Claude Sonnet 4 supports 200K 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.

What are the main differences between Claude Sonnet 4 and DeepSeek R1 Zero?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 4 and DeepSeek R1 Zero?

Claude Sonnet 4 is developed by Anthropic and DeepSeek R1 Zero is developed by DeepSeek.