Alibaba (Qwen), open weights

# Qwen1.5-7B

> Qwen1.5-7B by Alibaba (Qwen), released February 2024. Ranked #273 of 354 with a Noometry Index of 31.4. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen1-5-7b
- Last updated: 2026-10-10
- Title: Qwen1.5-7B Benchmarks, Price & Rank (October 2026)

Qwen1.5-7B by Alibaba (Qwen) ranks 273rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 31.4. Its strongest category is math, where it ranks 224th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #273 of 354
- **Index score:** 31.4
- **Evidence:** Confirmed 13 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.

Qwen1.5-7B category scores

1.  Coding 32.2
2.  Reasoning 20.4
3.  Math 31.4
4.  Knowledge 28.7
5.  Multilingual 28.5
6.  Instruction Following 54.1
7.  Long Context 33.1
8.  Writing & Preference 29.6
9.  0204060

Qwen1.5-7B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 32.2 | #276 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 20.4 | #240 | 1 |
| [Math](https://noometry.com/best/math) | 31.4 | #224 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 28.7 | #243 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 28.5 | #271 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 54.1 | #281 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 33.1 | #266 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 29.6 | #293 | 3 |

## Strengths and weaknesses

Categories where Qwen1.5-7B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen1.5-7B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 31.4 | −5.1 | #224 of 327, top 69% |
| [Reasoning](https://noometry.com/best/reasoning) | 20.4 | −3.2 | #240 of 350, top 69% |
| [Knowledge](https://noometry.com/best/knowledge) | 28.7 | −8.6 | #243 of 314, top 78% |

### Weakest categories

Qwen1.5-7B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 29.6 | −24.2 | #293 of 312, top 94% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 54.1 | −17.2 | #281 of 305, top 93% |
| [Multilingual](https://noometry.com/best/multilingual) | 28.5 | −18.9 | #271 of 297, top 92% |

## Closest competitors

The models ranked just above and below Qwen1.5-7B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen1.5-7B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) | #269 | 31.7 | $0.40 | — | [Compare](https://noometry.com/compare/mistral-small-3-1-vs-qwen1-5-7b) |
| [Granite 3.0 8b Instruct](https://noometry.com/models/granite-3-0-8b-instruct) | #270 | 31.6 | — | — | [Compare](https://noometry.com/compare/granite-3-0-8b-instruct-vs-qwen1-5-7b) |
| [o1-pro](https://noometry.com/models/o1-pro) | #271 | 31.5 | $263 | — | [Compare](https://noometry.com/compare/o1-pro-vs-qwen1-5-7b) |
| [Command R](https://noometry.com/models/command-r) | #272 | 31.4 | $0.26 | — | [Compare](https://noometry.com/compare/command-r-vs-qwen1-5-7b) |
| [Wizardlm 13b](https://noometry.com/models/wizardlm-13b) | #274 | 31.4 | — | — | [Compare](https://noometry.com/compare/qwen1-5-7b-vs-wizardlm-13b) |
| [Qwen-14B](https://noometry.com/models/qwen-14b) | #275 | 31.4 | — | — | [Compare](https://noometry.com/compare/qwen-14b-vs-qwen1-5-7b) |
| [Phi 3 Mini 4k Instruct June 2024](https://noometry.com/models/phi-3-mini-4k-instruct-june) | #276 | 31.3 | — | — | [Compare](https://noometry.com/compare/phi-3-mini-4k-instruct-june-vs-qwen1-5-7b) |
| [Gemma 1.1 7b IT](https://noometry.com/models/gemma-1-1-7b-it) | #277 | 31.3 | — | — | [Compare](https://noometry.com/compare/gemma-1-1-7b-it-vs-qwen1-5-7b) |

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

Qwen1.5-7B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1107 | #268 of 294, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Qwen1.5-7B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1065 | #279 of 297, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Qwen1.5-7B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1080 | #271 of 285, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Qwen1.5-7B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1055 | #261 of 273, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 62.6% | #59 of 81, top 73% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Qwen1.5-7B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1058 | #271 of 297, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1141 | #249 of 285, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1006 | #274 of 283, top 97% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen1.5-7B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1058 | #277 of 298, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen1.5-7B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1090 | #271 of 291, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen1.5-7B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1083 | #278 of 297, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1035 | #282 of 295, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1062 | #274 of 295, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Qwen1.5-7B

-   [Qwen1.5-7B vs Command R](https://noometry.com/compare/command-r-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Wizardlm 13b](https://noometry.com/compare/qwen1-5-7b-vs-wizardlm-13b)
-   [Qwen1.5-7B vs o1-pro](https://noometry.com/compare/o1-pro-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Qwen-14B](https://noometry.com/compare/qwen-14b-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Granite 3.0 8b Instruct](https://noometry.com/compare/granite-3-0-8b-instruct-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Phi 3 Mini 4k Instruct June 2024](https://noometry.com/compare/phi-3-mini-4k-instruct-june-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen1-5-7b)
-   [Qwen1.5-7B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen1-5-7b)

## 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 Qwen1.5-7B?

Qwen1.5-7B by Alibaba (Qwen) ranks 273rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 31.4. Its strongest category is math, where it ranks 224th.

### Is Qwen1.5-7B open source?

Yes. Qwen1.5-7B's weights are downloadable; check the license for commercial terms.

### What are Qwen1.5-7B's strengths and weaknesses?

Relative to other ranked models, Qwen1.5-7B places best in math, reasoning, knowledge and lowest in writing & preference, instruction following, multilingual.

### What is Qwen1.5-7B best at?

Its best category is math, where it ranks 224th on Noometry.

### Cite this page

Noometry. (2026). Qwen1.5-7B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen1-5-7b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen1-5-7b.md).