Alibaba (Qwen), open weights

# Qwen1.5-32B

> Qwen1.5-32B by Alibaba (Qwen), released February 2024. Ranked #293 of 354 with a Noometry Index of 30.5. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen1-5-32b
- Last updated: 2026-10-10
- Title: Qwen1.5-32B Benchmarks, Price & Rank (October 2026)

Qwen1.5-32B by Alibaba (Qwen) ranks 293rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.5. Its strongest category is math, where it ranks 207th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #293 of 354
- **Index score:** 30.5
- **Evidence:** Confirmed 21 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.

Qwen1.5-32B category scores

1.  Coding 31.7
2.  Reasoning 21.8
3.  Math 33.0
4.  Knowledge 13.5
5.  Multilingual 31.4
6.  Instruction Following 57.7
7.  Long Context 34.7
8.  Writing & Preference 34.2
9.  0204060

Qwen1.5-32B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 31.7 | #282 | 3 |
| [Reasoning](https://noometry.com/best/reasoning) | 21.8 | #212 | 1 |
| [Math](https://noometry.com/best/math) | 33.0 | #207 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 13.5 | #296 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 31.4 | #259 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 57.7 | #265 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 34.7 | #246 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 34.2 | #271 | 3 |

## Strengths and weaknesses

Categories where Qwen1.5-32B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen1.5-32B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 21.8 | −1.8 | #212 of 350, top 61% |
| [Math](https://noometry.com/best/math) | 33.0 | −3.5 | #207 of 327, top 64% |
| [Coding](https://noometry.com/best/coding) | 31.7 | −7.0 | #282 of 340, top 83% |

### Weakest categories

Qwen1.5-32B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 13.5 | −23.8 | #296 of 314, top 95% |
| [Multilingual](https://noometry.com/best/multilingual) | 31.4 | −16.0 | #259 of 297, top 88% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 57.7 | −13.6 | #265 of 305, top 87% |

## Closest competitors

The models ranked just above and below Qwen1.5-32B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen1.5-32B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Yi-1.5-34B](https://noometry.com/models/yi-1-5-34b) | #289 | 30.6 | — | — | [Compare](https://noometry.com/compare/qwen1-5-32b-vs-yi-1-5-34b) |
| [Codestral](https://noometry.com/models/codestral) | #290 | 30.6 | $0.45 | 271 | [Compare](https://noometry.com/compare/codestral-vs-qwen1-5-32b) |
| [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | #291 | 30.6 | $0.16 | — | [Compare](https://noometry.com/compare/llama-3-3-70b-instruct-vs-qwen1-5-32b) |
| [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | #292 | 30.5 | $15 | — | [Compare](https://noometry.com/compare/gpt-4-turbo-vs-qwen1-5-32b) |
| [Amazon Nova Micro](https://noometry.com/models/amazon-nova-micro) | #294 | 30.4 | $0.0613 | — | [Compare](https://noometry.com/compare/amazon-nova-micro-vs-qwen1-5-32b) |
| [Olmo 7b Instruct](https://noometry.com/models/olmo-7b-instruct) | #295 | 30.3 | — | — | [Compare](https://noometry.com/compare/olmo-7b-instruct-vs-qwen1-5-32b) |
| [Magistral Small](https://noometry.com/models/magistral-small) | #296 | 30.2 | $0.75 | 0 | [Compare](https://noometry.com/compare/magistral-small-vs-qwen1-5-32b) |
| [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) | #297 | 30.1 | $1.22 | — | [Compare](https://noometry.com/compare/qwen1-5-32b-vs-qwen2-5-32b-instruct) |

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

Qwen1.5-32B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 32.3% | #53 of 64, top 83% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-04-26 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1155 | #256 of 294, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 42% | #48 of 66, top 73% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-04-26 |

### Reasoning

Qwen1.5-32B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1130 | #259 of 297, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Qwen1.5-32B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1155 | #247 of 285, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Qwen1.5-32B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 30.7% | #168 of 186, top 91% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1126 | #245 of 273, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 74.4% | #34 of 81, top 42% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Qwen1.5-32B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1106 | #259 of 297, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1177 | #242 of 285, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1101 | #213 of 223, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1058 | #216 of 231, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1027 | #194 of 211, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1008 | #199 of 213, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1073 | #263 of 283, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1089 | #217 of 226, top 97% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen1.5-32B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1116 | #262 of 298, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen1.5-32B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1146 | #255 of 291, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen1.5-32B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1137 | #261 of 297, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1083 | #271 of 295, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1140 | #255 of 295, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Qwen1.5-32B

-   [Qwen1.5-32B vs GPT-4 Turbo](https://noometry.com/compare/gpt-4-turbo-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Amazon Nova Micro](https://noometry.com/compare/amazon-nova-micro-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Llama-3.3-70B-Instruct](https://noometry.com/compare/llama-3-3-70b-instruct-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Olmo 7b Instruct](https://noometry.com/compare/olmo-7b-instruct-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Codestral](https://noometry.com/compare/codestral-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Magistral Small](https://noometry.com/compare/magistral-small-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen1-5-32b)
-   [Qwen1.5-32B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen1-5-32b)

## 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 Qwen1.5-32B?

Qwen1.5-32B by Alibaba (Qwen) ranks 293rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.5. Its strongest category is math, where it ranks 207th.

### Is Qwen1.5-32B open source?

Yes. Qwen1.5-32B's weights are downloadable; check the license for commercial terms.

### What are Qwen1.5-32B's strengths and weaknesses?

Relative to other ranked models, Qwen1.5-32B places best in reasoning, math, coding and lowest in knowledge, multilingual, instruction following.

### What is Qwen1.5-32B best at?

Its best category is math, where it ranks 207th on Noometry.

### Cite this page

Noometry. (2026). Qwen1.5-32B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen1-5-32b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen1-5-32b.md).