DeepSeek, open weights

# DeepSeek-R1-Distill-Qwen-1.5B

> DeepSeek-R1-Distill-Qwen-1.5B by DeepSeek, released January 2025. Ranked #339 of 354 with a Noometry Index of 26.1. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/deepseek-r1-distill-qwen-1-5b
- Last updated: 2026-10-10
- Title: DeepSeek-R1-Distill-Qwen-1.5B Benchmarks, Price & Rank (October 2026)

DeepSeek-R1-Distill-Qwen-1.5B by DeepSeek ranks 339th of 354 ranked models on the Noometry Index as of October 2026, with a score of 26.1. Its strongest category is reasoning, where it ranks 262nd.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #339 of 354
- **Index score:** 26.1
- **Evidence:** Confirmed 5 results
- **Provider:** [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek)
- **Released:** January 20, 2025
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

DeepSeek-R1-Distill-Qwen-1.5B category scores

1.  Coding 21.8
2.  Reasoning 19.2
3.  Math 23.0
4.  Knowledge 16.0
5.  141618202224

DeepSeek-R1-Distill-Qwen-1.5B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 21.8 | #336 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 19.2 | #262 | 1 |
| [Math](https://noometry.com/best/math) | 23.0 | #274 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 16.0 | #290 | 1 |

## Strengths and weaknesses

Categories where DeepSeek-R1-Distill-Qwen-1.5B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

DeepSeek-R1-Distill-Qwen-1.5B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 19.2 | −4.4 | #262 of 350, top 75% |
| [Math](https://noometry.com/best/math) | 23.0 | −13.5 | #274 of 327, top 84% |

### Weakest categories

DeepSeek-R1-Distill-Qwen-1.5B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 21.8 | −16.9 | #336 of 340, top 99% |
| [Knowledge](https://noometry.com/best/knowledge) | 16.0 | −21.3 | #290 of 314, top 93% |

## Closest competitors

The models ranked just above and below DeepSeek-R1-Distill-Qwen-1.5B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to DeepSeek-R1-Distill-Qwen-1.5B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen Turbo](https://noometry.com/models/qwen-turbo) | #335 | 27.1 | $0.0875 | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-qwen-turbo) |
| [Qwen3-1.7B](https://noometry.com/models/qwen3-1-7b) | #336 | 26.6 | — | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-qwen3-1-7b) |
| [Mistral Nemo](https://noometry.com/models/mistral-nemo) | #337 | 26.4 | $0.15 | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-mistral-nemo) |
| [Ministral 3B](https://noometry.com/models/ministral-3b) | #338 | 26.2 | $0.10 | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-ministral-3b) |
| [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | #340 | 25.9 | — | 41 | [Compare](https://noometry.com/compare/claude-3-haiku-vs-deepseek-r1-distill-qwen-1-5b) |
| [Gemma 2 9B](https://noometry.com/models/gemma-2-9b) | #341 | 25.9 | — | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-gemma-2-9b) |
| [Dolly 2.0-12b](https://noometry.com/models/dolly-2-0-12b) | #342 | 25.5 | — | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-dolly-2-0-12b) |
| [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | #343 | 25.5 | $0.26 | 120 | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-gpt-4o-mini) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

DeepSeek-R1-Distill-Qwen-1.5B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 7% | #64 of 64, top 100% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2025-01-20 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 7.9% | #66 of 66, top 100% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2025-01-20 |

### Reasoning

DeepSeek-R1-Distill-Qwen-1.5B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 0% | #109 of 129, top 85% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |

### Math

DeepSeek-R1-Distill-Qwen-1.5B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 21.4% | #125 of 173, top 73% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |

### Knowledge

DeepSeek-R1-Distill-Qwen-1.5B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 33.6% | #163 of 186, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |

## Compare DeepSeek-R1-Distill-Qwen-1.5B

-   [DeepSeek-R1-Distill-Qwen-1.5B vs Ministral 3B](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-ministral-3b)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Claude 3 Haiku](https://noometry.com/compare/claude-3-haiku-vs-deepseek-r1-distill-qwen-1-5b)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Mistral Nemo](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-mistral-nemo)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Gemma 2 9B](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-gemma-2-9b)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Qwen3-1.7B](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-qwen3-1-7b)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Dolly 2.0-12b](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-dolly-2-0-12b)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs GPT-6 Astra](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-gpt-6-astra)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-deepseek-r1-distill-qwen-1-5b)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Gemini 3.8 Flash](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-gemini-3-8-flash)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Kimi K3](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-kimi-k3)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Grok 4.6](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-grok-4-6)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Qwen3.8 Max](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-qwen3-8-max)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs GLM-5.3](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-glm-5-3)
-   [DeepSeek-R1-Distill-Qwen-1.5B vs Muse Spark 1.3](https://noometry.com/compare/deepseek-r1-distill-qwen-1-5b-vs-muse-spark-1-3)

## Other DeepSeek models

-   [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro)54.3
-   [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash)53.6
-   [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash)52.8
-   [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp)44.3
-   [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus)43.1
-   [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1)42.8
-   [DeepSeek-R1](https://noometry.com/models/deepseek-r1)42.3
-   [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale)39.7

## Frequently asked questions

### How good is DeepSeek-R1-Distill-Qwen-1.5B?

DeepSeek-R1-Distill-Qwen-1.5B by DeepSeek ranks 339th of 354 ranked models on the Noometry Index as of October 2026, with a score of 26.1. Its strongest category is reasoning, where it ranks 262nd.

### Is DeepSeek-R1-Distill-Qwen-1.5B open source?

Yes. DeepSeek-R1-Distill-Qwen-1.5B's weights are downloadable; check the license for commercial terms.

### What are DeepSeek-R1-Distill-Qwen-1.5B's strengths and weaknesses?

Relative to other ranked models, DeepSeek-R1-Distill-Qwen-1.5B places best in reasoning, math and lowest in coding, knowledge.

### What is DeepSeek-R1-Distill-Qwen-1.5B best at?

Its best category is reasoning, where it ranks 262nd on Noometry.

### Cite this page

Noometry. (2026). DeepSeek-R1-Distill-Qwen-1.5B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/deepseek-r1-distill-qwen-1-5b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/deepseek-r1-distill-qwen-1-5b.md).