Capabilities
7-day heat trend
−22.8%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 18% of tracked models
- Efficiency rank: #518 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About qwen/qwen2.5-72b-instruct-128k
SiliconFlow public route for Qwen2.5 72B Instruct 128K, preserving long-context supplier catalog metadata.
qwen/qwen2.5-72b-instruct-128k 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 131K-token context window, ~130 tokens/sec throughput and 98.0% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare qwen/qwen2.5-72b-instruct-128k
Related market news
Frequently asked questions
How much does qwen/qwen2.5-72b-instruct-128k cost per 1M tokens?+
qwen/qwen2.5-72b-instruct-128k 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/qwen2.5-72b-instruct-128k best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is qwen/qwen2.5-72b-instruct-128k?+
qwen/qwen2.5-72b-instruct-128k delivers about 130 tokens/sec with 98.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen/qwen2.5-72b-instruct-128k cheaper than other AI models?+
Within the HotON.ai tracked set, qwen/qwen2.5-72b-instruct-128k is cheaper than 43% of models on input price and ranks #518 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.