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Most Reliable GPT-3.5 Turbo 16k Inference Providers

Ranks providers by the uptime OpenRouter measured during the latest 30-minute window.

Provider options:
2
Ranked:
0
Metric:
Uptime (last 30 min)

Highest uptime endpoint ranking

Most Reliable GPT-3.5 Turbo 16k Inference Providers
RankProvider / routeUptime (last 30 min)Speed measurementsEndpoint details
Provider / route
OpenAIopenai
Uptime (last 30 min)Insufficient recent dataSpeed measurements
500-token response
36.06 s
Response starts
0.35 s
Output speed
14.0 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
16.4K
Provider / route
Azureazure
Uptime (last 30 min)Insufficient recent dataSpeed measurements
500-token response
16.13 s
Response starts
0.98 s
Output speed
33.0 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
16.4K

Endpoint data fetched .

GPT-3.5 Turbo 16k endpoint guide

How to interpret the Most Reliable GPT-3.5 Turbo 16k Inference Providers

0 of 2 GPT-3.5 Turbo 16k endpoints currently have the published data required for this ranking. No endpoint currently has enough data to receive first place. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How recent uptime is ranked

The reliability ranking uses the published 30-minute endpoint uptime measurement. This short operational window can reveal current instability, but it is not a service-level agreement or a substitute for longer-term availability monitoring.

Compare all available routes

Only 0 routes currently qualifies, so the rank alone provides limited choice. Review every visible endpoint for price, speed, uptime, context length, and route-specific configuration.

Use the route, not only the provider name

GPT-3.5 Turbo 16k has 2 published provider options, and performance data is matched to each exact OpenRouter routing tag. Different quantization, context, regional deployment, or provider configuration can change price and behavior even when the underlying model name is identical.