Qwen3 14Bon Krater.ai
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for
Released April 28, 2025
Specifications
Qwen3 14B at a glance
Context
41K tokens
Max output
16.4K tokens
Input
Text
Output
Text
Input price
$0.12 / 1M
Output price
$0.24 / 1M
Knowledge cutoff
2025-03-31
Capabilities
What it is good at
Catalog capabilities
- Generates text responses
- Supports tool calling
- Supports structured outputs
- Instruction format: qwen3
Good for
Benchmarks
Catalog data, not Krater benchmarks.
Coding index score
13.8
Agentic index score
0.9
Intelligence index score
8.2
Compare
Compare Qwen3 14B
Qwen3 14B vs Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass.
Open comparisonQwen3 14B vs Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass.
Open comparisonQwen3 14B vs Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks.
Open comparisonFAQ
Questions about Qwen3 14B
Clear answers based on the model catalog and Krater access.