Capabilities
7-day heat trend
+10.4%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 90% of tracked models
- Efficiency rank: #708 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About qwen/qwen2.5-coder-32b-instruct
SiliconFlow public route for Qwen2.5 Coder 32B Instruct, kept for coding-model supplier metadata.
qwen/qwen2.5-coder-32b-instruct is a Code 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, ~169 tokens/sec throughput and 98.1% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare qwen/qwen2.5-coder-32b-instruct
Related market news
Frequently asked questions
How much does qwen/qwen2.5-coder-32b-instruct cost per 1M tokens?+
qwen/qwen2.5-coder-32b-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-coder-32b-instruct best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is qwen/qwen2.5-coder-32b-instruct?+
qwen/qwen2.5-coder-32b-instruct delivers about 169 tokens/sec with 98.1% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen/qwen2.5-coder-32b-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, qwen/qwen2.5-coder-32b-instruct is cheaper than 43% of models on input price and ranks #708 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.