Model Comparison

DeepSeek R1 Distill Qwen 7B vs GPT-4.1 nanoWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: DeepSeek R1 Distill Qwen 7B vs GPT-4.1 nano — which is better?

DeepSeek R1 Distill Qwen 7B (by DeepSeek) and GPT-4.1 nano (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while GPT-4.1 nano is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

Choose DeepSeek R1 Distill Qwen 7B if…

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

Choose GPT-4.1 nano if…

  • you want the most recent training data — it shipped Apr 2025
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while GPT-4.1 nano is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 nano supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

GPT-4.1 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while GPT-4.1 nano uses a proprietary license.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

GPT-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while GPT-4.1 nano was released on 2025-04-14.

GPT-4.1 nano is 3 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.4 years ago

GPT-4.1 nano

Apr 14, 2025

1.1 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Qwen 7B's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 7B's cutoff date.

DeepSeek R1 Distill Qwen 7B

—

GPT-4.1 nano

May 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Higher AIME 2024 score (83.3% vs 29.4%)
OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Higher GPQA score (50.3% vs 49.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
OpenAI
GPT-4.1 nano

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs GPT-4.1 nano.

Which is better, DeepSeek R1 Distill Qwen 7B or GPT-4.1 nano?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and GPT-4.1 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 7B compare to GPT-4.1 nano in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and GPT-4.1 nano?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and GPT-4.1 nano supports 1.0M 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 7B and GPT-4.1 nano?

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 7B and GPT-4.1 nano?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and GPT-4.1 nano is developed by OpenAI.

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