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DeepSeek R1 Distill Qwen 1.5B vs GPT-4.1

GPT-4.1 leads the LLM Stats Score 18.2 to -2.8.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-4.1 leads the overall LLM Stats Score 18.2 to -2.8, ranking #203 overall.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 1.5B

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

Choose GPT-4.1

  • overall performance matters — it scores 18.2 and ranks #203 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
-2.8
#330
18.2
#203
-2.4
#319
18.6
#195
-4.5
#250
5.3
#195
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
1,047,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
GPT-4.1
5.7#262
16.4#198
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 29 for GPT-4.1

2 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 1 benchmarks (AIME 2024), while GPT-4.1 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sun Sep 06 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-4.1 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

GPT-4.1 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

GPT-4.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while GPT-4.1 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

GPT-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while GPT-4.1 was released on 2025-04-14.

GPT-4.1 is 3 months newer than DeepSeek R1 Distill Qwen 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.6 years ago

GPT-4.1

Apr 14, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

GPT-4.1

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and GPT-4.1 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
GPT-4.1
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs GPT-4.1.

Which is better, DeepSeek R1 Distill Qwen 1.5B or GPT-4.1?

GPT-4.1 leads the LLM Stats Score 18.2 to -2.8. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and GPT-4.1 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 1.5B compare to GPT-4.1 in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and GPT-4.1?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and GPT-4.1 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 1.5B and GPT-4.1?

Key differences include LLM Stats Score (-2.8 vs 18.2), 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 GPT-4.1?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and GPT-4.1 is developed by OpenAI.