Alibaba (Qwen), open weights

# Qwen2.5-Coder (1.5B)

> Qwen2.5-Coder (1.5B) by Alibaba (Qwen), released September 2024. 6 published benchmark results. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen2-5-coder
- Last updated: 2026-10-10
- Title: Qwen2.5-Coder (1.5B) Benchmarks, Price & Rank (October 2026)

Qwen2.5-Coder (1.5B) by Alibaba (Qwen) has 6 published benchmark results on Noometry, not yet enough to be ranked.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** Unranked
- **Index score:** Not ranked
- **Evidence:** 6 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** September 18, 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

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.

### Reasoning

Qwen2.5-Coder (1.5B) Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 113.14 | #186 of 213, top 88% |  | [Epoch AI](https://epoch.ai/eci) | 2024-09-18 |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 102.99 |  |  | [Epoch AI](https://epoch.ai/eci) | 2024-09-18 |
| [HellaSwag](https://noometry.com/benchmarks/hellaswag) | 76.8% | #22 of 29, top 76% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [HellaSwag](https://noometry.com/benchmarks/hellaswag) | 61.8% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WinoGrande](https://noometry.com/benchmarks/winogrande) | 60.7% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WinoGrande](https://noometry.com/benchmarks/winogrande) | 72.9% | #28 of 43, top 66% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Qwen2.5-Coder (1.5B) Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 83.9% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 86.7% | #7 of 38, top 19% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 65.8% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Knowledge

Qwen2.5-Coder (1.5B) Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) | 60.9% | #22 of 39, top 57% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) | 45.2% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 68% | #52 of 81, top 65% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 53.6% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare Qwen2.5-Coder (1.5B)

-   [Qwen2.5-Coder (1.5B) vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen2-5-coder)
-   [Qwen2.5-Coder (1.5B) vs MiMo-V2.6-Pro](https://noometry.com/compare/mimo-v2-6-pro-vs-qwen2-5-coder)

## 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 Qwen2.5-Coder (1.5B)?

Qwen2.5-Coder (1.5B) by Alibaba (Qwen) has 6 published benchmark results on Noometry, not yet enough to be ranked.

### Is Qwen2.5-Coder (1.5B) open source?

Yes. Qwen2.5-Coder (1.5B)'s weights are downloadable; check the license for commercial terms.

### Cite this page

Noometry. (2026). Qwen2.5-Coder (1.5B) benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen2-5-coder

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen2-5-coder.md).