Capabilities
7-day heat trend
−24.5%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 39% of tracked models
- Faster than 9% of tracked models
- Efficiency rank: #475 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About qwen3-14b
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...
qwen3-14b is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.06 per 1M input tokens and $0.24 per 1M output tokens, with a 41K-token context window, ~125 tokens/sec throughput and 97.5% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare qwen3-14b
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Frequently asked questions
How much does qwen3-14b cost per 1M tokens?+
qwen3-14b is tracked at $0.06 per 1M input tokens and $0.24 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.20 per 1M tokens. Figures are illustrative demo data.
What is qwen3-14b best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is qwen3-14b?+
qwen3-14b delivers about 125 tokens/sec with 97.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen3-14b cheaper than other AI models?+
Within the HotON.ai tracked set, qwen3-14b is cheaper than 39% of models on input price and ranks #475 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.