Qwen: Qwen3 14B
Qwen3 14B offers a step up in capability over its smaller sibling, with notably strong mathematics performance and tool use support at very competitive pricing. It's a reasonable mid-tier open-weight option for businesses exploring cost-effective automation, though overall reasoning depth remains limited compared to frontier models.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen3 |
| Instruct Type | qwen3 |
| Parameters | 14B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 14B stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-14b
|
| Provider | qwen |
| Release Date | April 28, 2025 |
| Context Length | 40,960 tokens |
| Max Completion | 40,960 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.06 | $0.000060 |
| Output | $0.24 | $0.000240 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
