Capabilities
7-day heat trend
−10.1%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 41% of tracked models
- Faster than 84% of tracked models
- Efficiency rank: #460 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About qwen-2.5-7b-instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
qwen-2.5-7b-instruct is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.04 per 1M input tokens and $0.10 per 1M output tokens, with a 33K-token context window, ~166 tokens/sec throughput and 97.7% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare qwen-2.5-7b-instruct
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Frequently asked questions
How much does qwen-2.5-7b-instruct cost per 1M tokens?+
qwen-2.5-7b-instruct is tracked at $0.04 per 1M input tokens and $0.10 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.09 per 1M tokens. Figures are illustrative demo data.
What is qwen-2.5-7b-instruct best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is qwen-2.5-7b-instruct?+
qwen-2.5-7b-instruct delivers about 166 tokens/sec with 97.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen-2.5-7b-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, qwen-2.5-7b-instruct is cheaper than 41% of models on input price and ranks #460 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.