Alibaba (Qwen), open weights

# Qwen2-72B

> Qwen2-72B by Alibaba (Qwen), released June 2024. Ranked #300 of 354 with a Noometry Index of 30.0. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen2-72b
- Last updated: 2026-10-10
- Title: Qwen2-72B Benchmarks, Price & Rank (October 2026) | Noometry

Qwen2-72B by Alibaba (Qwen) ranks 300th of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.0. Its strongest category is agentic & tool use, where it ranks 146th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #300 of 354
- **Index score:** 30.0
- **Evidence:** Confirmed 26 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** June 7, 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.

Qwen2-72B category scores

1.  Coding 29.1
2.  Agentic & Tool Use 17.0
3.  Reasoning 23.2
4.  Math 30.2
5.  Knowledge 21.2
6.  Multilingual 35.9
7.  Instruction Following 61.7
8.  Long Context 36.1
9.  Writing & Preference 40.8
10.  020406080

Qwen2-72B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 29.1 | #310 | 4 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 17.0 | #146 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 23.2 | #181 | 1 |
| [Math](https://noometry.com/best/math) | 30.2 | #236 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 21.2 | #275 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 35.9 | #244 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.7 | #241 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 36.1 | #235 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 40.8 | #241 | 3 |

## Strengths and weaknesses

Categories where Qwen2-72B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen2-72B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 23.2 | −0.4 | #181 of 350, top 52% |
| [Math](https://noometry.com/best/math) | 30.2 | −6.4 | #236 of 327, top 73% |
| [Writing & Preference](https://noometry.com/best/writing) | 40.8 | −13.0 | #241 of 312, top 78% |

### Weakest categories

Qwen2-72B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 17.0 | −13.3 | #146 of 154, top 95% |
| [Coding](https://noometry.com/best/coding) | 29.1 | −9.6 | #310 of 340, top 92% |
| [Knowledge](https://noometry.com/best/knowledge) | 21.2 | −16.1 | #275 of 314, top 88% |

## Closest competitors

The models ranked just above and below Qwen2-72B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen2-72B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Magistral Small](https://noometry.com/models/magistral-small) | #296 | 30.2 | $0.75 | 0 | [Compare](https://noometry.com/compare/magistral-small-vs-qwen2-72b) |
| [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) | #297 | 30.1 | $1.22 | — | [Compare](https://noometry.com/compare/qwen2-5-32b-instruct-vs-qwen2-72b) |
| [Palm 2](https://noometry.com/models/palm-2) | #298 | 30.0 | — | — | [Compare](https://noometry.com/compare/palm-2-vs-qwen2-72b) |
| [Gemma 7B](https://noometry.com/models/gemma-7b) | #299 | 30.0 | — | — | [Compare](https://noometry.com/compare/gemma-7b-vs-qwen2-72b) |
| [Gemini 1.5 Flash 8B](https://noometry.com/models/gemini-1-5-flash-8b) | #301 | 29.9 | — | — | [Compare](https://noometry.com/compare/gemini-1-5-flash-8b-vs-qwen2-72b) |
| [Qwen2.5-VL 72B Instruct](https://noometry.com/models/qwen2-5-vl-72b-instruct) | #302 | 29.9 | $4.20 | 43 | [Compare](https://noometry.com/compare/qwen2-5-vl-72b-instruct-vs-qwen2-72b) |
| [Mistral](https://noometry.com/models/mistral) | #303 | 29.9 | — | — | [Compare](https://noometry.com/compare/mistral-vs-qwen2-72b) |
| [OLMo 2 Furious 13B](https://noometry.com/models/olmo-2-furious-13b) | #304 | 29.7 | — | — | [Compare](https://noometry.com/compare/olmo-2-furious-13b-vs-qwen2-72b) |

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

Qwen2-72B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 11.3% | #112 of 119, top 95% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 38.5% | #37 of 64, top 58% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-06-07 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1196 | #243 of 294, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 54% | #23 of 66, top 35% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-06-07 |

### Agentic & Tool Use

Qwen2-72B Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [TheAgentCompany](https://noometry.com/benchmarks/the-agent-company) | 1.1% | #14 of 14, top 100% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [METR Time Horizons](https://noometry.com/benchmarks/metr-time-horizons) | 29.9% | #30 of 32, top 94% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Qwen2-72B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1191 | #243 of 297, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 125.28 | #157 of 213, top 74% |  | [Epoch AI](https://epoch.ai/eci) | 2024-06-07 |

### Math

Qwen2-72B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1235 | #222 of 285, top 78% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 39.1% | #53 of 79, top 68% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |

### Knowledge

Qwen2-72B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 40.8% | #148 of 186, top 80% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1171 | #231 of 273, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 82.4% | #11 of 81, top 14% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Qwen2-72B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1176 | #244 of 297, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1240 | #216 of 285, top 76% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1170 | #199 of 223, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1151 | #202 of 231, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1111 | #184 of 211, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1083 | #190 of 213, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1169 | #245 of 283, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1169 | #201 of 226, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen2-72B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1181 | #242 of 298, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen2-72B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1192 | #244 of 291, top 84% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen2-72B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1203 | #243 of 297, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1181 | #241 of 295, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1196 | #238 of 295, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Qwen2-72B

-   [Qwen2-72B vs Qwen1.5-110B](https://noometry.com/compare/qwen1-5-110b-vs-qwen2-72b)
-   [Qwen2-72B vs Gemma 7B](https://noometry.com/compare/gemma-7b-vs-qwen2-72b)
-   [Qwen2-72B vs Gemini 1.5 Flash 8B](https://noometry.com/compare/gemini-1-5-flash-8b-vs-qwen2-72b)
-   [Qwen2-72B vs Palm 2](https://noometry.com/compare/palm-2-vs-qwen2-72b)
-   [Qwen2-72B vs Qwen2.5-VL 72B Instruct](https://noometry.com/compare/qwen2-5-vl-72b-instruct-vs-qwen2-72b)
-   [Qwen2-72B vs Qwen2.5 32B Instruct](https://noometry.com/compare/qwen2-5-32b-instruct-vs-qwen2-72b)
-   [Qwen2-72B vs Mistral](https://noometry.com/compare/mistral-vs-qwen2-72b)
-   [Qwen2-72B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen2-72b)
-   [Qwen2-72B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen2-72b)
-   [Qwen2-72B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen2-72b)
-   [Qwen2-72B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen2-72b)
-   [Qwen2-72B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen2-72b)
-   [Qwen2-72B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen2-72b)
-   [Qwen2-72B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen2-72b)

## 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 Qwen2-72B?

Qwen2-72B by Alibaba (Qwen) ranks 300th of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.0. Its strongest category is agentic & tool use, where it ranks 146th.

### Is Qwen2-72B open source?

Yes. Qwen2-72B's weights are downloadable; check the license for commercial terms.

### What are Qwen2-72B's strengths and weaknesses?

Relative to other ranked models, Qwen2-72B places best in reasoning, math, writing & preference and lowest in agentic & tool use, coding, knowledge.

### What is Qwen2-72B best at?

Its best category is agentic & tool use, where it ranks 146th on Noometry.

### Cite this page

Noometry. (2026). Qwen2-72B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen2-72b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen2-72b.md).