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DeepSeek R1 Distill Qwen 14B vs GPT-5 nano

GPT-5 nano significantly outperforms across most benchmarks.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA). GPT-5 nano significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 14B

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

Choose GPT-5 nano

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.05 / M
Output price
— / M
$0.40 / M
Context window
400,000
Released
Jan 2025
Aug 2025
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

GPT-5 nano 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

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while GPT-5 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 14B

MIT

Open weights

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 7 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

GPT-5 nano

Aug 7, 2025

1.0 years ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.

DeepSeek R1 Distill Qwen 14B

GPT-5 nano

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 14B and GPT-5 nano side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
GPT-5 nano
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs GPT-5 nano.

Which is better, DeepSeek R1 Distill Qwen 14B or GPT-5 nano?

GPT-5 nano significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and GPT-5 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 14B compare to GPT-5 nano in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and GPT-5 nano?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and GPT-5 nano supports 400K 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 GPT-5 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 14B and GPT-5 nano?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and GPT-5 nano is developed by OpenAI.