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Fastest Llama 3 8B Lunaris Inference Providers

Ranks providers by estimated time to return 500 tokens, combining the wait for the first token with output speed.

DeepInfra currently ranks first at 7.20 s via deepinfra/turbo.

Provider options:
2
Ranked:
2
Metric:
Estimated response time

Fastest response endpoint ranking

Fastest Llama 3 8B Lunaris Inference Providers
RankProvider / routeEstimated response timeSpeed measurementsEndpoint details
#1Provider / route
DeepInfradeepinfra/turbo
Estimated response time7.20 sSpeed measurements
500-token response
7.20 s
Response starts
0.16 s
Output speed
71.0 tok/s
Endpoint details
Input price
$0.04 / 1M tokens
Output price
$0.05 / 1M tokens
Uptime (30 min)
99.97%
Context
8.2K
#2Provider / route
NovitaAInovita/bf16
Estimated response time7.65 sSpeed measurements
500-token response
7.65 s
Response starts
0.30 s
Output speed
68.0 tok/s
Endpoint details
Input price
$0.05 / 1M tokens
Output price
$0.05 / 1M tokens
Uptime (30 min)
100.00%
Context
8.2K

Endpoint data fetched .

Llama 3 8B Lunaris endpoint guide

How to interpret the Fastest Llama 3 8B Lunaris Inference Providers

2 of 2 Llama 3 8B Lunaris endpoints currently have the published data required for this ranking. DeepInfra leads at 7.20 s via deepinfra/turbo. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How complete response time is ranked

The fastest ranking estimates a 500-token answer by adding the recent median first-token wait to 500 divided by median output throughput. It represents an example complete response, not a guarantee for every prompt or request size.

Compare DeepInfra with the next option

NovitaAI currently ranks second at 7.65 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

Llama 3 8B Lunaris 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.