Model Comparison

DeepSeek R1 Distill Qwen 14B vs Claude 3 Haiku

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (GPQA), while Claude 3 Haiku is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

Sat May 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Sat May 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Haiku supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Claude 3 Haiku 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 Haiku

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Claude 3 Haiku 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 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Claude 3 Haiku was released on 2024-03-13.

DeepSeek R1 Distill Qwen 14B is 10 months newer than Claude 3 Haiku.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.3 years ago

10mo newer
Claude 3 Haiku

Mar 13, 2024

2.2 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
Higher GPQA score (59.1% vs 33.3%)
Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Anthropic
Claude 3 Haiku

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Claude 3 Haiku.

Which is better, DeepSeek R1 Distill Qwen 14B or Claude 3 Haiku?

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Claude 3 Haiku 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 14B compare to Claude 3 Haiku in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Claude 3 Haiku?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Claude 3 Haiku 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 14B and Claude 3 Haiku?

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 14B and Claude 3 Haiku?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Claude 3 Haiku is developed by Anthropic.