Model

gpt-6.1-sol

A reasoning model evaluated using only 100 samples in an AIOps root cause analysis experiment.

Timeline (last 90 days)

Oct 13

On the same HDFS anomaly detection task, gpt-4.1-nano achieved 79% accuracy, and gpt-6.1-sol (only 100 samples) achieved 66% accuracy.

Unverified50%

Oct 13

Decision-1 has an average latency of 240ms, with 1380 calls costing about $0.015; gpt-4.1-nano has an average latency of 728ms and a cost of about $0.05-0.07; gpt-6.1-sol has an average latency of 2052ms and a cost of about $0.56.

Expired50%

All Facts (1)

Unverified

On the same HDFS anomaly detection task, gpt-4.1-nano achieved 79% accuracy, and gpt-6.1-sol (only 100 samples) achieved 66% accuracy.

50%

Source Articles

Six AI Models Play Chess via CLI, No Checkmates Reveal the Truth About Automation ReliabilityOct 19 Breaking Down RAG Service Costs: Token, Retrieval, and Observability Pricing ExplainedOct 15 A Practical Guide to Building AI Agents with the NanoGPT APIOct 15 Microsoft Decision Model in Practice: How Probabilistic Output Is Revolutionizing AIOps Root Cause LocalizationOct 13