Alibaba (Qwen), open weights

# Qwen1.5-72B

> Qwen1.5-72B by Alibaba (Qwen), released February 2024. Ranked #285 of 354 with a Noometry Index of 30.8. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen1-5-72b
- Last updated: 2026-10-10
- Title: Qwen1.5-72B Benchmarks, Price & Rank (October 2026)

Qwen1.5-72B by Alibaba (Qwen) ranks 285th of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.8. Its strongest category is reasoning, where it ranks 203rd.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #285 of 354
- **Index score:** 30.8
- **Evidence:** Confirmed 22 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.

Qwen1.5-72B category scores

1.  Coding 31.9
2.  Reasoning 22.2
3.  Math 33.2
4.  Knowledge 11.5
5.  Multilingual 33.2
6.  Instruction Following 59.3
7.  Long Context 35.1
8.  Writing & Preference 37.3
9.  0204060

Qwen1.5-72B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 31.9 | #277 | 3 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.2 | #203 | 1 |
| [Math](https://noometry.com/best/math) | 33.2 | #205 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 11.5 | #300 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 33.2 | #253 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 59.3 | #256 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 35.1 | #243 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 37.3 | #258 | 3 |

## Strengths and weaknesses

Categories where Qwen1.5-72B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen1.5-72B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.2 | −1.4 | #203 of 350, top 58% |
| [Math](https://noometry.com/best/math) | 33.2 | −3.4 | #205 of 327, top 63% |
| [Coding](https://noometry.com/best/coding) | 31.9 | −6.8 | #277 of 340, top 82% |

### Weakest categories

Qwen1.5-72B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 11.5 | −25.8 | #300 of 314, top 96% |
| [Multilingual](https://noometry.com/best/multilingual) | 33.2 | −14.2 | #253 of 297, top 86% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 59.3 | −12.0 | #256 of 305, top 84% |

## Closest competitors

The models ranked just above and below Qwen1.5-72B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen1.5-72B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro) | #281 | 31.0 | $1.40 | — | [Compare](https://noometry.com/compare/amazon-nova-pro-vs-qwen1-5-72b) |
| [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | #282 | 30.9 | $0.30 | 456 | [Compare](https://noometry.com/compare/llama-4-maverick-vs-qwen1-5-72b) |
| [Phi-4 Mini](https://noometry.com/models/phi-4-mini) | #283 | 30.9 | $0.13 | — | [Compare](https://noometry.com/compare/phi-4-mini-vs-qwen1-5-72b) |
| [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) | #284 | 30.8 | $0.10 | 62 | [Compare](https://noometry.com/compare/gemma-3-27b-vs-qwen1-5-72b) |
| [Granite 3.0 2b Instruct](https://noometry.com/models/granite-3-0-2b-instruct) | #286 | 30.8 | — | — | [Compare](https://noometry.com/compare/granite-3-0-2b-instruct-vs-qwen1-5-72b) |
| [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct) | #287 | 30.8 | — | — | [Compare](https://noometry.com/compare/codellama-34b-instruct-vs-qwen1-5-72b) |
| [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) | #288 | 30.7 | — | 78 | [Compare](https://noometry.com/compare/llama-3-1-405b-vs-qwen1-5-72b) |
| [Yi-1.5-34B](https://noometry.com/models/yi-1-5-34b) | #289 | 30.6 | — | — | [Compare](https://noometry.com/compare/qwen1-5-72b-vs-yi-1-5-34b) |

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

Qwen1.5-72B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 33.2% | #50 of 64, top 79% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-04-26 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1165 | #253 of 294, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 40.3% | #53 of 66, top 81% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-04-26 |
| [HumanEval+](https://noometry.com/benchmarks/humaneval-plus) | 59.1% | #30 of 45, top 67% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |
| [MBPP+](https://noometry.com/benchmarks/mbpp-plus) | 61.6% | #23 of 38, top 61% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |

### Reasoning

Qwen1.5-72B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1148 | #255 of 297, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Qwen1.5-72B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1164 | #245 of 285, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Qwen1.5-72B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 28.8% | #171 of 186, top 92% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1136 | #243 of 273, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Qwen1.5-72B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1135 | #253 of 297, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1186 | #237 of 285, top 84% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1159 | #203 of 223, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1084 | #213 of 231, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1061 | #189 of 211, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1050 | #194 of 213, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1104 | #257 of 283, top 91% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1110 | #215 of 226, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen1.5-72B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1141 | #255 of 298, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen1.5-72B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1157 | #252 of 291, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen1.5-72B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1166 | #253 of 297, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1137 | #255 of 295, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1160 | #248 of 295, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Qwen1.5-72B

-   [Qwen1.5-72B vs Gemma 3 27B](https://noometry.com/compare/gemma-3-27b-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Granite 3.0 2b Instruct](https://noometry.com/compare/granite-3-0-2b-instruct-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Phi-4 Mini](https://noometry.com/compare/phi-4-mini-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Codellama 34b Instruct](https://noometry.com/compare/codellama-34b-instruct-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Llama 4 Maverick](https://noometry.com/compare/llama-4-maverick-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Llama 3.1-405B](https://noometry.com/compare/llama-3-1-405b-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen1-5-72b)
-   [Qwen1.5-72B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen1-5-72b)

## 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 Qwen1.5-72B?

Qwen1.5-72B by Alibaba (Qwen) ranks 285th of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.8. Its strongest category is reasoning, where it ranks 203rd.

### Is Qwen1.5-72B open source?

Yes. Qwen1.5-72B's weights are downloadable; check the license for commercial terms.

### What are Qwen1.5-72B's strengths and weaknesses?

Relative to other ranked models, Qwen1.5-72B places best in reasoning, math, coding and lowest in knowledge, multilingual, instruction following.

### What is Qwen1.5-72B best at?

Its best category is reasoning, where it ranks 203rd on Noometry.

### Cite this page

Noometry. (2026). Qwen1.5-72B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen1-5-72b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen1-5-72b.md).