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DeepSeek R1 Distill Qwen 14B vs GPT-5 mini

GPT-5 mini leads the LLM Stats Score 27.6 to 11.0.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-5 mini leads the overall LLM Stats Score 27.6 to 11.0, ranking #134 overall.

In the 1 individual benchmarks reported for both models, GPT-5 mini wins 1; 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 DeepSeek R1 Distill Qwen 14B

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

Choose GPT-5 mini

  • overall performance matters — it scores 27.6 and ranks #134 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Core performance indexes
11.0
#249
27.6
#134
11.3
#245
26.9
#133
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$2.00 / M
Context window
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 14B
GPT-5 mini
13.5#220
25.7#100
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 5 for GPT-5 mini

1 shared

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

GPT-5 mini significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

GPT-5 mini 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 mini

Text
Images
Audio
Video

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

GPT-5 mini

Aug 7, 2025

1.1 years ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5 mini 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 mini'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 mini

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 mini side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-5 mini leads the LLM Stats Score 27.6 to 11.0. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and GPT-5 mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 14B compare to GPT-5 mini in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%.

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

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

Key differences include LLM Stats Score (11.0 vs 27.6), 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 mini?

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