Reasoning in one second – Try Qwen3-32B on Cerebras

This post introduces the availability of the Qwen3-32B model on Cerebras hardware, achieving 2,400 tokens/s for inference. It highlights the model's performance in code generation, tool-calling, and advanced reasoning, comparing it favorably to GPT-4.1 and Claude Sonnet 3.7. The post quantifies the latency reduction (1.2 seconds for the first token) and cost savings ($0.80 per million output tokens vs. $8 for GPT-4.1), emphasizing its suitability for real-time applications like agents and multi-step reasoning.