Alibaba (Qwen), open weights

# Qwen2.5-Coder-32B

> Qwen2.5-Coder-32B by Alibaba (Qwen), released September 2024. Ranked #245 of 354 with a Noometry Index of 33.4. API: $0.66 in / $1 out per M tokens. 33K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen2-5-coder-32b
- Last updated: 2026-10-10
- Title: Qwen2.5-Coder-32B Benchmarks, Price & Rank (October 2026)

Qwen2.5-Coder-32B by Alibaba (Qwen) ranks 245th of 354 ranked models on the Noometry Index as of October 2026, with a score of 33.4. Its strongest category is knowledge, where it ranks 203rd. API pricing starts at $0.66 per million input tokens and $1 per million output tokens, with a 33K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #245 of 354
- **Index score:** 33.4
- **Evidence:** Confirmed 31 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** September 18, 2024
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** 33K
- **Max output:** 29K
- **Input price:** $0.66 / M
- **Output price:** $1 / M
- **Blended price:** $0.74 / M
- **Output speed:** Not measured
- **Value:** #106 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text
- **Hugging Face:** [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)

## Category scores

Each category score combines every public result we have in that category.

Qwen2.5-Coder-32B category scores

1.  Coding 22.6
2.  Reasoning 21.2
3.  Math 33.3
4.  Knowledge 33.4
5.  Multilingual 37.8
6.  Instruction Following 61.4
7.  Long Context 38.0
8.  Writing & Preference 41.6
9.  020406080

Qwen2.5-Coder-32B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 22.6 | #333 | 6 |
| [Reasoning](https://noometry.com/best/reasoning) | 21.2 | #225 | 3 |
| [Math](https://noometry.com/best/math) | 33.3 | #204 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 33.4 | #203 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 37.8 | #235 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.4 | #245 | 2 |
| [Long Context](https://noometry.com/best/long-context) | 38.0 | #208 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 41.6 | #240 | 4 |

## Strengths and weaknesses

Categories where Qwen2.5-Coder-32B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen2.5-Coder-32B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 33.3 | −3.3 | #204 of 327, top 63% |
| [Reasoning](https://noometry.com/best/reasoning) | 21.2 | −2.4 | #225 of 350, top 65% |
| [Knowledge](https://noometry.com/best/knowledge) | 33.4 | −3.9 | #203 of 314, top 65% |

### Weakest categories

Qwen2.5-Coder-32B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 22.6 | −16.1 | #333 of 340, top 98% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.4 | −9.9 | #245 of 305, top 81% |
| [Multilingual](https://noometry.com/best/multilingual) | 37.8 | −9.6 | #235 of 297, top 80% |

## Closest competitors

The models ranked just above and below Qwen2.5-Coder-32B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen2.5-Coder-32B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | #241 | 33.5 | $0.14 | 4 | [Compare](https://noometry.com/compare/gpt-5-nano-vs-qwen2-5-coder-32b) |
| [Mercury 2.5](https://noometry.com/models/mercury-2-5) | #242 | 33.5 | $0.0675 | — | [Compare](https://noometry.com/compare/mercury-2-5-vs-qwen2-5-coder-32b) |
| [Mistral Small](https://noometry.com/models/mistral-small) | #243 | 33.4 | $0.26 | 120 | [Compare](https://noometry.com/compare/mistral-small-vs-qwen2-5-coder-32b) |
| [Nova 2.0 Pro Preview](https://noometry.com/models/nova-2-0-pro-preview) | #244 | 33.4 | — | — | [Compare](https://noometry.com/compare/nova-2-0-pro-preview-vs-qwen2-5-coder-32b) |
| [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) | #246 | 33.2 | — | — | [Compare](https://noometry.com/compare/gemini-1-5-flash-vs-qwen2-5-coder-32b) |
| [Granite 3.1 2b Instruct](https://noometry.com/models/granite-3-1-2b-instruct) | #247 | 33.2 | — | — | [Compare](https://noometry.com/compare/granite-3-1-2b-instruct-vs-qwen2-5-coder-32b) |
| [Gemma 2 2b IT](https://noometry.com/models/gemma-2-2b-it) | #248 | 33.1 | — | — | [Compare](https://noometry.com/compare/gemma-2-2b-it-vs-qwen2-5-coder-32b) |
| [Wizardlm 70b](https://noometry.com/models/wizardlm-70b) | #249 | 33.0 | — | — | [Compare](https://noometry.com/compare/qwen2-5-coder-32b-vs-wizardlm-70b) |

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

Qwen2.5-Coder-32B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only) | 9% | #39 of 39, top 100% |  | [SWE-bench](https://www.swebench.com/) | 2025-08-03 |
| [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot) | 16.4% | #37 of 44, top 85% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 49% | #4 of 64, top 7% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-09-19 |
| [LiveBench Coding](https://noometry.com/benchmarks/livebench-coding) | 56.9% | #14 of 39, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1276 | #212 of 294, top 73% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 58% | #10 of 66, top 16% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-09-19 |
| [HumanEval+](https://noometry.com/benchmarks/humaneval-plus) | 87.2% | #4 of 45, top 9% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |
| [MBPP+](https://noometry.com/benchmarks/mbpp-plus) | 77% | #3 of 38, top 8% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |

### Reasoning

Qwen2.5-Coder-32B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning) | 42.1% | #26 of 39, top 67% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1251 | #219 of 297, top 74% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Data Analysis](https://noometry.com/benchmarks/livebench-data-analysis) | 49.9% | #24 of 39, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 119.49 | #170 of 213, top 80% |  | [Epoch AI](https://epoch.ai/eci) | 2024-09-18 |
| [HellaSwag](https://noometry.com/benchmarks/hellaswag) | 83% | #11 of 29, top 38% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench](https://noometry.com/benchmarks/livebench) | 46.2% | #24 of 39, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WinoGrande](https://noometry.com/benchmarks/winogrande) | 80.8% | #14 of 43, top 33% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Qwen2.5-Coder-32B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Math](https://noometry.com/benchmarks/livebench-math) | 46.6% | #21 of 39, top 54% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1251 | #213 of 285, top 75% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 91.1% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 93% | #2 of 38, top 6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Knowledge

Qwen2.5-Coder-32B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1221 | #214 of 273, top 79% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) | 70.5% | #18 of 39, top 47% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 79.1% | #22 of 81, top 28% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Qwen2.5-Coder-32B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1205 | #235 of 297, top 80% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1222 | #222 of 285, top 78% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1228 | #222 of 283, top 79% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Qwen2.5-Coder-32B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Instruction Following](https://noometry.com/benchmarks/livebench-if) | 58.7% | #28 of 39, top 72% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1223 | #228 of 298, top 77% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Qwen2.5-Coder-32B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1251 | #221 of 291, top 76% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Qwen2.5-Coder-32B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1230 | #230 of 297, top 78% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1174 | #243 of 295, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1222 | #231 of 295, top 79% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Language](https://noometry.com/benchmarks/livebench-language) | 23.3% | #34 of 39, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## API pricing by provider

Qwen2.5-Coder-32B API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [openrouter](https://openrouter.ai/qwen/qwen-2.5-coder-32b-instruct) | $0.66 | $1 | — | 2026-10-10 |

[All Alibaba (Qwen) API prices →](https://noometry.com/llm-pricing/alibaba) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Qwen2.5-Coder-32B

-   [Qwen2.5-Coder-32B vs Nova 2.0 Pro Preview](https://noometry.com/compare/nova-2-0-pro-preview-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Gemini 1.5 Flash (May 2024)](https://noometry.com/compare/gemini-1-5-flash-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Mistral Small](https://noometry.com/compare/mistral-small-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Granite 3.1 2b Instruct](https://noometry.com/compare/granite-3-1-2b-instruct-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Mercury 2.5](https://noometry.com/compare/mercury-2-5-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Gemma 2 2b IT](https://noometry.com/compare/gemma-2-2b-it-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen2-5-coder-32b)
-   [Qwen2.5-Coder-32B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-qwen2-5-coder-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 Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B by Alibaba (Qwen) ranks 245th of 354 ranked models on the Noometry Index as of October 2026, with a score of 33.4. Its strongest category is knowledge, where it ranks 203rd. API pricing starts at $0.66 per million input tokens and $1 per million output tokens, with a 33K-token context window.

### How much does Qwen2.5-Coder-32B cost?

Qwen2.5-Coder-32B costs $0.66 per million input tokens and $1 per million output tokens on openrouter.

### What is Qwen2.5-Coder-32B's context window?

Qwen2.5-Coder-32B accepts up to 33K tokens of input and can write up to 29K tokens in one response.

### Is Qwen2.5-Coder-32B open source?

Yes. Qwen2.5-Coder-32B's weights are downloadable from Hugging Face (Qwen/Qwen2.5-Coder-32B-Instruct); check the license for commercial terms.

### What are Qwen2.5-Coder-32B's strengths and weaknesses?

Relative to other ranked models, Qwen2.5-Coder-32B places best in math, reasoning, knowledge and lowest in coding, instruction following, multilingual.

### What is Qwen2.5-Coder-32B best at?

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

### Cite this page

Noometry. (2026). Qwen2.5-Coder-32B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen2-5-coder-32b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen2-5-coder-32b.md).