Capabilities
7-day heat trend
−19.7%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 48% of tracked models
- Efficiency rank: #473 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About qwen2.5-coder-7b-instruct
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enha...
qwen2.5-coder-7b-instruct is a Code model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.03 per 1M input tokens and $0.09 per 1M output tokens, with a 33K-token context window, ~147 tokens/sec throughput and 97.7% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare qwen2.5-coder-7b-instruct
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Frequently asked questions
How much does qwen2.5-coder-7b-instruct cost per 1M tokens?+
qwen2.5-coder-7b-instruct is tracked at $0.03 per 1M input tokens and $0.09 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.08 per 1M tokens. Figures are illustrative demo data.
What is qwen2.5-coder-7b-instruct best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is qwen2.5-coder-7b-instruct?+
qwen2.5-coder-7b-instruct delivers about 147 tokens/sec with 97.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen2.5-coder-7b-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, qwen2.5-coder-7b-instruct is cheaper than 41% of models on input price and ranks #473 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.