Model Comparison

DeepSeek R1 Distill Qwen 14B vs Claude 3.7 Sonnet

Claude 3.7 Sonnet shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Claude 3.7 Sonnet is better at 2 benchmarks (GPQA, MATH-500).

Claude 3.7 Sonnet shows notably better performance in the majority of benchmarks.

Mon Mar 30 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
Mon Mar 30 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Mon Mar 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

Claude 3.7 Sonnet

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Claude 3.7 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 14B

MIT

Open weights

Claude 3.7 Sonnet

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Claude 3.7 Sonnet was released on 2025-02-24.

Claude 3.7 Sonnet is 1 month newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

Claude 3.7 Sonnet

Feb 24, 2025

1.1 years ago

1mo newer

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
Has open weights
Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (84.8% vs 59.1%)
Higher MATH-500 score (96.2% vs 93.9%)
DeepSeekDeepSeek R1 Distill Qwen 14B
AnthropicClaude 3.7 Sonnet
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Anthropic
Claude 3.7 Sonnet

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Claude 3.7 Sonnet

Claude 3.7 Sonnet shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Claude 3.7 Sonnet is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%.
DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Claude 3.7 Sonnet supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Claude 3.7 Sonnet is developed by Anthropic.