Alibaba (Qwen), open weights

# Qwen3 14B

> Qwen3 14B by Alibaba (Qwen), released April 2025. Ranked #225 of 354 with a Noometry Index of 35.5. API: $0.35 in / $1.40 out per M tokens. 131K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/qwen3-14b
- Last updated: 2026-10-10
- Title: Qwen3 14B Benchmarks, Price & Rank (October 2026) | Noometry

Qwen3 14B by Alibaba (Qwen) ranks 225th of 354 ranked models on the Noometry Index as of October 2026, with a score of 35.5. Its strongest category is agentic & tool use, where it ranks 83rd. API pricing starts at $0.35 per million input tokens and $1.40 per million output tokens, with a 131K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #225 of 354
- **Index score:** 35.5
- **Evidence:** Confirmed 12 results
- **Provider:** [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba)
- **Released:** April 1, 2025
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 131K
- **Max output:** 8K
- **Input price:** $0.35 / M
- **Output price:** $1.40 / M
- **Blended price:** $0.61 / M
- **Output speed:** 79 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #91 of 219
- **Knowledge cutoff:** April 2025
- **Input:** text
- **Hugging Face:** [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B)

## Category scores

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

Qwen3 14B category scores

1.  Coding 37.3
2.  Agentic & Tool Use 29.6
3.  Reasoning 18.5
4.  Math 38.6
5.  Knowledge 39.3
6.  Long Context 38.1
7.  010203040

Qwen3 14B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 37.3 | #195 | 1 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 29.6 | #83 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 18.5 | #280 | 5 |
| [Math](https://noometry.com/best/math) | 38.6 | #133 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 39.3 | #134 | 2 |
| [Long Context](https://noometry.com/best/long-context) | 38.1 | #204 | 1 |

## Strengths and weaknesses

Categories where Qwen3 14B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Qwen3 14B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 38.6 | +2.1 | #133 of 327, top 41% |
| [Knowledge](https://noometry.com/best/knowledge) | 39.3 | +1.9 | #134 of 314, top 43% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 29.6 | −0.7 | #83 of 154, top 54% |

### Weakest categories

Qwen3 14B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 18.5 | −5.1 | #280 of 350, top 80% |
| [Long Context](https://noometry.com/best/long-context) | 38.1 | −2.8 | #204 of 296, top 69% |
| [Coding](https://noometry.com/best/coding) | 37.3 | −1.5 | #195 of 340, top 58% |

## Closest competitors

The models ranked just above and below Qwen3 14B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Qwen3 14B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [C4ai Aya Expanse 32b](https://noometry.com/models/c4ai-aya-expanse-32b) | #221 | 35.9 | — | — | [Compare](https://noometry.com/compare/c4ai-aya-expanse-32b-vs-qwen3-14b) |
| [Llama 3.1 Nemotron 51b Instruct](https://noometry.com/models/llama-3-1-nemotron-51b-instruct) | #222 | 35.9 | — | — | [Compare](https://noometry.com/compare/llama-3-1-nemotron-51b-instruct-vs-qwen3-14b) |
| [Nemotron 4 340b Instruct](https://noometry.com/models/nemotron-4-340b-instruct) | #223 | 35.9 | — | — | [Compare](https://noometry.com/compare/nemotron-4-340b-instruct-vs-qwen3-14b) |
| [Llama 3.1 Tulu 3 8b](https://noometry.com/models/llama-3-1-tulu-3-8b) | #224 | 35.7 | — | — | [Compare](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-qwen3-14b) |
| [DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/models/deepseek-r1-distill-qwen-32b) | #226 | 35.5 | — | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-32b-vs-qwen3-14b) |
| [Magistral Medium](https://noometry.com/models/magistral-medium) | #227 | 35.2 | $2.75 | 0 | [Compare](https://noometry.com/compare/magistral-medium-vs-qwen3-14b) |
| [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) | #228 | 35.1 | — | 92 | [Compare](https://noometry.com/compare/gemini-2-0-flash-vs-qwen3-14b) |
| [C4ai Aya Expanse 8b](https://noometry.com/models/c4ai-aya-expanse-8b) | #229 | 34.9 | — | — | [Compare](https://noometry.com/compare/c4ai-aya-expanse-8b-vs-qwen3-14b) |

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

Qwen3 14B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SciCode](https://noometry.com/benchmarks/scicode) | 31.6% | #105 of 121, top 87% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Qwen3 14B Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Berkeley Function Calling Leaderboard](https://noometry.com/benchmarks/bfcl) | 41% | #23 of 49, top 47% | fc | [Berkeley Function Calling Leaderboard](https://gorilla.cs.berkeley.edu/leaderboard.html) |  |

### Reasoning

Qwen3 14B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 49.1% | #67 of 99, top 68% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 0% | #130 of 134, top 98% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 4% | #99 of 129, top 77% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 0% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 64% | #104 of 151, top 69% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 18.2% | #95 of 125, top 76% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 138.23 | #115 of 213, top 54% |  | [Epoch AI](https://epoch.ai/eci) | 2025-04-29 |

### Math

Qwen3 14B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 66.4% | #99 of 173, top 58% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 25.8% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |

### Knowledge

Qwen3 14B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 63.8% | #111 of 186, top 60% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 53.4% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 5.4% | #14 of 96, top 15% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |

### Long Context

Qwen3 14B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Fiction.LiveBench](https://noometry.com/benchmarks/fiction-livebench) | 62.5% | #26 of 47, top 56% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## API pricing by provider

Qwen3 14B API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [alibaba](https://www.alibabacloud.com/help/en/model-studio/models) | $0.35 | $1.40 | — | 2026-10-10 |
| [openrouter](https://openrouter.ai/qwen/qwen3-14b) | $0.12 | $0.24 | — | 2026-10-10 |

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

## Compare Qwen3 14B

-   [Qwen3 14B vs Qwen2-72B](https://noometry.com/compare/qwen2-72b-vs-qwen3-14b)
-   [Qwen3 14B vs Llama 3.1 Tulu 3 8b](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-qwen3-14b)
-   [Qwen3 14B vs DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/compare/deepseek-r1-distill-qwen-32b-vs-qwen3-14b)
-   [Qwen3 14B vs Nemotron 4 340b Instruct](https://noometry.com/compare/nemotron-4-340b-instruct-vs-qwen3-14b)
-   [Qwen3 14B vs Magistral Medium](https://noometry.com/compare/magistral-medium-vs-qwen3-14b)
-   [Qwen3 14B vs Llama 3.1 Nemotron 51b Instruct](https://noometry.com/compare/llama-3-1-nemotron-51b-instruct-vs-qwen3-14b)
-   [Qwen3 14B vs Gemini 2.0 Flash (Feb 2025)](https://noometry.com/compare/gemini-2-0-flash-vs-qwen3-14b)
-   [Qwen3 14B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-qwen3-14b)
-   [Qwen3 14B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-qwen3-14b)
-   [Qwen3 14B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-qwen3-14b)
-   [Qwen3 14B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-qwen3-14b)
-   [Qwen3 14B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-qwen3-14b)
-   [Qwen3 14B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-qwen3-14b)
-   [Qwen3 14B vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-qwen3-14b)

## 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 Qwen3 14B?

Qwen3 14B by Alibaba (Qwen) ranks 225th of 354 ranked models on the Noometry Index as of October 2026, with a score of 35.5. Its strongest category is agentic & tool use, where it ranks 83rd. API pricing starts at $0.35 per million input tokens and $1.40 per million output tokens, with a 131K-token context window.

### How much does Qwen3 14B cost?

Qwen3 14B costs $0.35 per million input tokens and $1.40 per million output tokens on Alibaba (Qwen)'s own API.

### What is Qwen3 14B's context window?

Qwen3 14B accepts up to 131K tokens of input and can write up to 8K tokens in one response.

### Is Qwen3 14B open source?

Yes. Qwen3 14B's weights are downloadable from Hugging Face (Qwen/Qwen3-14B); check the license for commercial terms.

### How fast is Qwen3 14B?

Qwen3 14B generated about 79 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are Qwen3 14B's strengths and weaknesses?

Relative to other ranked models, Qwen3 14B places best in math, knowledge, agentic & tool use and lowest in reasoning, long context, coding.

### What is Qwen3 14B best at?

Its best category is agentic & tool use, where it ranks 83rd on Noometry.

### Cite this page

Noometry. (2026). Qwen3 14B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/qwen3-14b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/qwen3-14b.md).