Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs o4-miniWhich is better in 2026?

o4-mini significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Distill Qwen 1.5B vs o4-mini — which is better?

DeepSeek R1 Distill Qwen 1.5B (by DeepSeek) and o4-mini (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 1.5B outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (AIME 2024, GPQA). o4-mini significantly outperforms across most benchmarks.

Choose DeepSeek R1 Distill Qwen 1.5B if…

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

Choose o4-mini if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (AIME 2024, GPQA).

o4-mini significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while o4-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 1.5B

MIT

Open weights

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while o4-mini was released on 2025-04-16.

o4-mini is 3 months newer than DeepSeek R1 Distill Qwen 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.4 years ago

o4-mini

Apr 16, 2025

1.1 years ago

2mo newer

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

o4-mini

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2024 score (93.4% vs 52.7%)
Higher GPQA score (81.4% vs 33.8%)
DeepSeekDeepSeek R1 Distill Qwen 1.5B
OpenAIo4-mini

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
OpenAI
o4-mini

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs o4-mini.

Which is better, DeepSeek R1 Distill Qwen 1.5B or o4-mini?

o4-mini significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and o4-mini 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 1.5B compare to o4-mini in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and o4-mini?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and o4-mini 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 1.5B and o4-mini?

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 1.5B and o4-mini?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and o4-mini is developed by OpenAI.