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Claude 3.7 Sonnet vs DeepSeek R1 Distill Qwen 14B

Claude 3.7 Sonnet leads the LLM Stats Score 24.2 to 11.1.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude 3.7 Sonnet leads the overall LLM Stats Score 24.2 to 11.1, ranking #158 overall.

In the 3 individual benchmarks reported for both models, Claude 3.7 Sonnet wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3.7 Sonnet

  • overall performance matters — it scores 24.2 and ranks #158 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Feb 2025

Choose DeepSeek R1 Distill Qwen 14B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude 3.7 Sonnet
Anthropic
DeepSeek R1 Distill Qwen 14B
DeepSeek
Core performance indexes
LLM Stats Score
24.2
#158
11.1
#247
Reasoning
23.3
#155
11.4
#243
Coding
14.0
#126
5.6
#189
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude 3.7 Sonnet
DeepSeek R1 Distill Qwen 14B
Math
16.7#194
13.5#219
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Claude 3.7 Sonnet · 4 for DeepSeek R1 Distill Qwen 14B

3 shared

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

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

Wed Sep 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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).

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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.

Claude 3.7 Sonnet

Text
Images
Audio
Video

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while DeepSeek R1 Distill Qwen 14B uses MIT.

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

Claude 3.7 Sonnet

Proprietary

Closed source

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Release Timeline

When each model was launched

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

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

Claude 3.7 Sonnet

Feb 24, 2025

1.5 years ago

1mo newer
DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 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→

Judge for yourself.

Run your own prompts against Claude 3.7 Sonnet and DeepSeek R1 Distill Qwen 14B side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
DeepSeek R1 Distill Qwen 14B
Open in Playground

FAQ

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

Which is better, Claude 3.7 Sonnet or DeepSeek R1 Distill Qwen 14B?

Claude 3.7 Sonnet leads the LLM Stats Score 24.2 to 11.1. Claude 3.7 Sonnet is made by Anthropic and DeepSeek R1 Distill Qwen 14B is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude 3.7 Sonnet compare to DeepSeek R1 Distill Qwen 14B in benchmarks?

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 scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%.

What are the context window sizes for Claude 3.7 Sonnet and DeepSeek R1 Distill Qwen 14B?

Claude 3.7 Sonnet supports 200K tokens and DeepSeek R1 Distill Qwen 14B 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 3.7 Sonnet and DeepSeek R1 Distill Qwen 14B?

Key differences include LLM Stats Score (24.2 vs 11.1), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.7 Sonnet and DeepSeek R1 Distill Qwen 14B?

Claude 3.7 Sonnet is developed by Anthropic and DeepSeek R1 Distill Qwen 14B is developed by DeepSeek.

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