33 LLM Metrics Define Performance, Safety and Cost From Tokens to GSM8K
Updated
Updated · InfoWorld · Jun 15
33 LLM Metrics Define Performance, Safety and Cost From Tokens to GSM8K
3 articles · Updated · InfoWorld · Jun 15
Summary
33 evaluation metrics are laid out for large language models, spanning speed, reliability, safety, capability and economics rather than relying on a single benchmark.
Latency and efficiency measures lead the operational set, including time to first token, tokens per second, throughput, tail latency, error rate and total cost of ownership.
Quality and safety checks extend to hallucination rate, toxicity and bias, PII leakage, prompt sensitivity, grounding, format compliance, jailbreak resistance and prompt injection vulnerability.
Agentic systems add another layer of scrutiny through tool-calling accuracy, subgoal success, plan stability and self-correction, reflecting how models behave when they use tools and revise plans.
Capability is still tested with named benchmarks such as GSM8K’s 8,500 math problems, MMLU-Pro’s 12,000-plus questions, SWE-bench and LMSYS Chatbot Arena, while price remains a final practical filter.