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Fastest Llama Guard 4 12B Inference Providers

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

Together currently ranks first at 31.38 s via together.

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

Fastest response endpoint ranking

Fastest Llama Guard 4 12B Inference Providers
RankProvider / routeEstimated response timeSpeed measurementsEndpoint details
#1Provider / route
Togethertogether
Estimated response time31.38 sSpeed measurements
500-token response
31.38 s
Response starts
0.13 s
Output speed
16.0 tok/s
Endpoint details
Input price
$0.2 / 1M tokens
Output price
$0.2 / 1M tokens
Uptime (30 min)
100.00%
Context
1M
#2Provider / route
DeepInfradeepinfra/bf16
Estimated response time55.85 sSpeed measurements
500-token response
55.85 s
Response starts
0.29 s
Output speed
9.0 tok/s
Endpoint details
Input price
$0.18 / 1M tokens
Output price
$0.18 / 1M tokens
Uptime (30 min)
99.98%
Context
163.8K

Endpoint data fetched .

Llama Guard 4 12B endpoint guide

How to interpret the Fastest Llama Guard 4 12B Inference Providers

2 of 2 Llama Guard 4 12B endpoints currently have the published data required for this ranking. Together leads at 31.38 s via together. 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 Together with the next option

DeepInfra currently ranks second at 55.85 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 Guard 4 12B 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.