Qwen 3 14b

Qwen 3 14b is a 14b model. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.

  • Vision by description

Pricing

Auto routing · per 1M tokens
Input
$0.080
Output
$0.24
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Specifications

Context window
41K
Max output
32.8K
Parameters
14B
Avg output (7d)
221 tokens
Longer than 17% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

6.7

Better than 19% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

32.2%

Better than 40% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

0.0%

Better than 6% of models compared

Reasoning

HLE

Humanity's Last Exam

4.1%

Better than 14% of models compared

IFBench

Instruction-following benchmark

23.9%

Better than 6% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

5.3%

Better than 32% of models compared

LiveCodeBench

Contamination-free coding benchmark

28.0%

Better than 31% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

58.0%

Better than 55% of models compared

AIME

American Invitational Mathematics Examination

28.0%

Better than 54% of models compared

Math-500

Diverse mathematical problem solving benchmark

87.1%

Better than 57% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

67.5%

Better than 31% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

13.3%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

92.3%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

47.0%

Better than 21% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

0.0%

Better than 6% of models compared

Last updated Oct 3, 2026

Artificial Analysis

Providers

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