Capabilities
7-day heat trend
−11.7%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 4% of tracked models
- Efficiency rank: #903 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About qwen/qwen2.5-14b-instruct
SiliconFlow public route for Qwen2.5 14B Instruct, kept as current Chinese-market supplier catalog metadata.
qwen/qwen2.5-14b-instruct is a Text model from SiliconFlow (CN). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window, ~121 tokens/sec throughput and 97.7% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare qwen/qwen2.5-14b-instruct
Related market news
Frequently asked questions
How much does qwen/qwen2.5-14b-instruct cost per 1M tokens?+
qwen/qwen2.5-14b-instruct is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is qwen/qwen2.5-14b-instruct best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is qwen/qwen2.5-14b-instruct?+
qwen/qwen2.5-14b-instruct delivers about 121 tokens/sec with 97.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen/qwen2.5-14b-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, qwen/qwen2.5-14b-instruct is cheaper than 43% of models on input price and ranks #903 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.