Alibaba (Qwen), open weights

# Qwen1.5-14B

> Qwen1.5-14B by Alibaba (Qwen), released February 2024. Ranked #253 of 354 with a Noometry Index of 32.7. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen1-5-14b
- Last updated: 2026-10-10
- Title: Qwen1.5-14B Benchmarks, Price & Rank (October 2026)

Qwen1.5-14B by Alibaba (Qwen) ranks 253rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 32.7. Its strongest category is math, where it ranks 215th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #253 of 354
- **Index score:** 32.7
- **Evidence:** Confirmed 17 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** February 4, 2024
- **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.

Qwen1.5-14B category scores

1.  Coding 33.1
2.  Reasoning 21.4
3.  Math 32.4
4.  Knowledge 29.8
5.  Multilingual 30.7
6.  Instruction Following 56.8
7.  Long Context 33.7
8.  Writing & Preference 33.6
9.  0204060

Qwen1.5-14B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 33.1 | #263 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 21.4 | #223 | 1 |
| [Math](https://noometry.com/best/math) | 32.4 | #215 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 29.8 | #232 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 30.7 | #262 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 56.8 | #271 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 33.7 | #257 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 33.6 | #276 | 3 |

## Strengths and weaknesses

Categories where Qwen1.5-14B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen1.5-14B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 21.4 | −2.2 | #223 of 350, top 64% |
| [Math](https://noometry.com/best/math) | 32.4 | −4.2 | #215 of 327, top 66% |
| [Knowledge](https://noometry.com/best/knowledge) | 29.8 | −7.5 | #232 of 314, top 74% |

### Weakest categories

Qwen1.5-14B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Instruction Following](https://noometry.com/best/instruction-following) | 56.8 | −14.4 | #271 of 305, top 89% |
| [Writing & Preference](https://noometry.com/best/writing) | 33.6 | −20.2 | #276 of 312, top 89% |
| [Multilingual](https://noometry.com/best/multilingual) | 30.7 | −16.7 | #262 of 297, top 89% |

## Closest competitors

The models ranked just above and below Qwen1.5-14B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen1.5-14B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Wizardlm 70b](https://noometry.com/models/wizardlm-70b) | #249 | 33.0 | — | — | [Compare](https://noometry.com/compare/qwen1-5-14b-vs-wizardlm-70b) |
| [Phi 3 Medium 4k Instruct](https://noometry.com/models/phi-3-medium-4k-instruct) | #250 | 33.0 | — | — | [Compare](https://noometry.com/compare/phi-3-medium-4k-instruct-vs-qwen1-5-14b) |
| [Tulu 3 (Tülu 3) 70B](https://noometry.com/models/tulu-3-70b) | #251 | 33.0 | — | — | [Compare](https://noometry.com/compare/qwen1-5-14b-vs-tulu-3-70b) |
| [DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/models/deepseek-r1-distill-qwen-14b) | #252 | 32.7 | — | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-14b-vs-qwen1-5-14b) |
| [Olmo 2 0325 32b Instruct](https://noometry.com/models/olmo-2-0325-32b-instruct) | #254 | 32.7 | — | — | [Compare](https://noometry.com/compare/olmo-2-0325-32b-instruct-vs-qwen1-5-14b) |
| [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | #255 | 32.5 | $0.036 | 96 | [Compare](https://noometry.com/compare/gpt-oss-20b-vs-qwen1-5-14b) |
| [Laguna M.1](https://noometry.com/models/laguna-m-1) | #256 | 32.5 | — | — | [Compare](https://noometry.com/compare/laguna-m-1-vs-qwen1-5-14b) |
| [Command R+](https://noometry.com/models/command-r-plus) | #257 | 32.4 | $4.38 | — | [Compare](https://noometry.com/compare/command-r-plus-vs-qwen1-5-14b) |

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

Qwen1.5-14B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1138 | #259 of 294, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Qwen1.5-14B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1113 | #262 of 297, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Qwen1.5-14B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1125 | #260 of 285, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Qwen1.5-14B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1094 | #251 of 273, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 68.6% | #51 of 81, top 63% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Qwen1.5-14B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1095 | #262 of 297, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1147 | #247 of 285, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1116 | #211 of 223, top 95% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1043 | #221 of 231, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1019 | #197 of 211, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1046 | #269 of 283, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1085 | #219 of 226, top 97% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen1.5-14B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1102 | #267 of 298, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen1.5-14B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1113 | #264 of 291, top 91% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen1.5-14B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1128 | #264 of 297, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1091 | #268 of 295, top 91% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1110 | #263 of 295, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Qwen1.5-14B

-   [Qwen1.5-14B vs DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/compare/deepseek-r1-distill-qwen-14b-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Olmo 2 0325 32b Instruct](https://noometry.com/compare/olmo-2-0325-32b-instruct-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Tulu 3 (Tülu 3) 70B](https://noometry.com/compare/qwen1-5-14b-vs-tulu-3-70b)
-   [Qwen1.5-14B vs gpt-oss-20b](https://noometry.com/compare/gpt-oss-20b-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Phi 3 Medium 4k Instruct](https://noometry.com/compare/phi-3-medium-4k-instruct-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Laguna M.1](https://noometry.com/compare/laguna-m-1-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen1-5-14b)
-   [Qwen1.5-14B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen1-5-14b)

## Other Alibaba (Qwen) models

-   [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max)56.8
-   [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max)51.5
-   [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview)51.5
-   [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus)47.5
-   [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b)46.0
-   [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b)46.0
-   [Qwen3.5 Max Preview](https://noometry.com/models/qwen3-5-max-preview)45.3
-   [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus)45.3

## Frequently asked questions

### How good is Qwen1.5-14B?

Qwen1.5-14B by Alibaba (Qwen) ranks 253rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 32.7. Its strongest category is math, where it ranks 215th.

### Is Qwen1.5-14B open source?

Yes. Qwen1.5-14B's weights are downloadable; check the license for commercial terms.

### What are Qwen1.5-14B's strengths and weaknesses?

Relative to other ranked models, Qwen1.5-14B places best in reasoning, math, knowledge and lowest in instruction following, writing & preference, multilingual.

### What is Qwen1.5-14B best at?

Its best category is math, where it ranks 215th on Noometry.

### Cite this page

Noometry. (2026). Qwen1.5-14B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen1-5-14b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen1-5-14b.md).