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Highest Output-Speed GPT-3.5 Turbo 16k Inference Providers

Ranks providers by their recent typical output speed in tokens per second. Providers without enough recent data remain visible after ranked rows.

Azure currently ranks first at 33.0 tok/s via azure.

Provider options:
2
Ranked:
2
Metric:
Output speed

Highest output speed endpoint ranking

Highest Output-Speed GPT-3.5 Turbo 16k Inference Providers
RankProvider / routeOutput speedSpeed measurementsEndpoint details
#1Provider / route
Azureazure
Output speed33.0 tok/sSpeed 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
#2Provider / route
OpenAIopenai
Output speed14.0 tok/sSpeed 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

Endpoint data fetched .

GPT-3.5 Turbo 16k endpoint guide

How to interpret the Highest Output-Speed GPT-3.5 Turbo 16k Inference Providers

2 of 2 GPT-3.5 Turbo 16k endpoints currently have the published data required for this ranking. Azure leads at 33.0 tok/s via azure. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How generation throughput is ranked

The output-speed ranking compares recent median generated tokens per second. It favors routes that complete long generations quickly, while first-token latency remains a separate measure of how responsive the endpoint feels at the beginning.

Compare Azure with the next option

OpenAI currently ranks second at 14.0 tok/s. Compare that gap with input and output price, response-start time, output speed, 30-minute uptime, context length, and the exact route before deciding whether first place is meaningful for your workload.

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.