Model Comparison

Claude 3 Haiku vs DeepSeek R1 Distill Qwen 14B

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

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

DeepSeek R1 Distill Qwen 14B 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 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Sat May 02 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.

Claude 3 Haiku

Text
Images
Audio
Video

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Haiku 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 Haiku

Proprietary

Closed source

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Release Timeline

When each model was launched

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

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

Claude 3 Haiku

Mar 13, 2024

2.1 years ago

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.3 years ago

10mo 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

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

FAQ

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

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

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks. Claude 3 Haiku is made by Anthropic and DeepSeek R1 Distill Qwen 14B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3 Haiku compare to DeepSeek R1 Distill Qwen 14B in benchmarks?

Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. 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 Haiku and DeepSeek R1 Distill Qwen 14B?

Claude 3 Haiku 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 Haiku and DeepSeek R1 Distill Qwen 14B?

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 3 Haiku and DeepSeek R1 Distill Qwen 14B?

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