Prefill Speed
Prefill speed refers to the rate at which an LLM processes the input prompt (tokens per second) before generating the first output token. It is a critical metric for latency-sensitive applications and agentic workflows.
Key Benchmarks & Observations
Recent evaluations of Qwen 3.8-Max Performance Benchmarks and Agentic Task Evaluation highlight significant performance characteristics:
- High Throughput: Qwen 3.8-Max demonstrates excellent prefill speeds, optimized for rapid context ingestion.
- Performance Range:
- Short prompts: ~640 tokens/second.
- Longer prompts: Speed scales/adjusts based on context length (see Qwen 3.8-Max Performance Benchmarks and Agentic Task Evaluation for full data).
- Agentic Suitability: The high prefill speed contributes to lower overall latency in agentic task evaluation scenarios, such as those tested in lukes-dev-lab.
Related Concepts
- Tokenization
- Latency
- LLM Performance Metrics
- Agentic Workflows