Qwen: Qwen3 14B
Analysis Summary
Qwen: Qwen3 14B sits in the Efficient tier on our leaderboard, ranked #210 of 556 published models on overall intelligence. At $0.100 input and $0.240 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window and supports tool use, function calling, and reasoning.
Editorial notes
Qwen3 14B adds tool use and function calling at $0.10/$0.24 per million tokens with strong math scores, though overall intelligence and agentic benchmarks remain limited for demanding business workflows.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
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 Detail
| Instruct Type | qwen3 |
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 | $0.10 | $0.000100 |
| Output | $0.24 | $0.000240 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
