Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Claude 3.5 Sonnet

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Claude 3.5 Sonnet is better at 1 benchmark (GPQA).

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3.5 Sonnet specifies input context (200,000 tokens). Only Claude 3.5 Sonnet specifies output context (200,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Anthropic
Claude 3.5 Sonnet
Input200,000 tokens
Output200,000 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.5 Sonnet supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

Claude 3.5 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Claude 3.5 Sonnet

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Claude 3.5 Sonnet uses a proprietary license.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Claude 3.5 Sonnet

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Claude 3.5 Sonnet was released on 2024-10-22.

DeepSeek R1 Distill Qwen 1.5B is 3 months newer than Claude 3.5 Sonnet.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

3mo newer
Claude 3.5 Sonnet

Oct 22, 2024

1.5 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
Has open weights
Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (67.2% vs 33.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Anthropic
Claude 3.5 Sonnet

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Claude 3.5 Sonnet.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Claude 3.5 Sonnet?

Claude 3.5 Sonnet significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Claude 3.5 Sonnet is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 1.5B compare to Claude 3.5 Sonnet in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Claude 3.5 Sonnet scores GSM8k: 96.4%, DocVQA: 95.2%, AI2D: 94.7%, HumanEval: 93.7%, BIG-Bench Hard: 93.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Claude 3.5 Sonnet?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Claude 3.5 Sonnet supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and Claude 3.5 Sonnet?

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

Who makes DeepSeek R1 Distill Qwen 1.5B and Claude 3.5 Sonnet?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Claude 3.5 Sonnet is developed by Anthropic.