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Model details

Qwen3 14B

Qwen3 14B is a dense large language model developed by Alibaba Cloud's Qwen team as part of the Qwen3 model series. Released in late April 2025 under the Apache-2.0 license, it sits in the middle of the Qwen3 lineup as a mid-sized model designed to balance advanced reasoning capabilities with efficient deployment. The model is positioned for enterprise solutions and research initiatives, including automation of complex business processes, scientific research, and AI product development. According to third-party catalog descriptions, it offers hybrid thinking and non-thinking modes, agent tool-use capabilities, and multilingual coverage that makes it suited for high-complexity international projects requiring expert-level knowledge and complex analysis.

From an architectural standpoint, Qwen3 14B is described as a 14-billion-parameter model featuring 40 layers with full or sliding window attention. The model's weights are openly distributed on Hugging Face at the Qwen/Qwen3-14B repository, with additional community-quantized GGUF builds (Q4_K_M, Q5_K_M, Q6_K, and Q8_0) and Ollama availability, making it accessible for self-hosting and local experimentation. Its combination of reasoning abilities, tool-use support, and a permissive open-weights license makes it a practical choice for teams building specialized AI assistants, technical consulting tools, and innovative product development workflows that demand a balance between capability and operational efficiency.

OpenRouterqwen/qwen3-14bqwen

Quick Info

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Provider
OpenRouter
Model key
qwen/qwen3-14b
Release date
Apr 28, 2025
Last updated
Apr 28, 2025
Knowledge cutoff
2025-03-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.12
Output token cost
$0.24

Limits

Output tokens
16,384 tokens
Context window
40,960 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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