https://openai-status.llm-utils.org/ Unofficial OpenAI Status Why does this exist? I've found myself checking the official OpenAI status dashboard when I'm experiencing either a slow model or model errors, but the status dashboard normally shows all green even when I'm experiencing API/ Playground/ChatGPT issues. So the official status doesn't seem to capture non-catastrophic but still elevated rates of errors or slowness. This unofficial OpenAI status page fixes that. At a Glance Compare current model performance with previous data. Colors reflect two day percentiles: lower values and greener shades indicate better performance. Last updated less than a minute ago 7/13/2023, 11:00:30 PM UTC Time / 256 Hourly Model Tokens Difference 2 Day Error Rate (Performance, Average (Status) Percentile) gpt-4 19.31s (Slightly -3.18s 22.50s 0.00 / hr Faster, 24^th) (Low) gpt-3.5-turbo 7.71s (Normal, +0.61s 7.09s 0.00 / hr 74^th) (Low) gpt-3.5-turbo-16k 5.26s (Normal, +0.49s 4.77s 0.00 / hr 72^th) (Low) 23.12s 0.00 / hr text-davinci-003 (Significantly +11.21s 11.91s (Low) Slower, 94^th) text-curie-001 3.04s (Normal, -0.05s 3.09s 0.00 / hr 58^th) (Low) text-babbage-001 2.26s (Normal, -0.06s 2.31s 0.00 / hr 64^th) (Low) text-ada-001 2.78s (Slightly +0.07s 2.71s 0.00 / hr Slower, 83^th) (Low) gpt-4-0613 22.20s (Normal, +0.12s 22.09s 0.00 / hr 54^th) (Low) 8.29s 0.00 / hr gpt-3.5-turbo-0613 (Significantly +1.42s 6.88s (Low) Slower, 92^th) gpt-3.5-turbo-16k-0613 4.26s (Normal, -0.47s 4.73s 0.00 / hr 36^th) (Low) Completion Time / 256 Tokens The time it takes for a model to generate 256 tokens. Lower values indicate better performance. [] Errors [] Latency The response time for the OpenAI API's models call, indicating base latency independent of the model's response time, as called from US-West. Shorter durations are preferable. []