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Most Reliable Mistral Small 4 Inference Providers

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

Mistral currently ranks first at 100.00% via mistral.

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

Highest uptime endpoint ranking

Most Reliable Mistral Small 4 Inference Providers
RankProvider / routeUptime (last 30 min)Speed measurementsEndpoint details
#1Provider / route
Mistralmistral
Uptime (last 30 min)100.00%Speed measurements
500-token response
5.39 s
Response starts
0.39 s
Output speed
100.0 tok/s
Endpoint details
Input price
$0.15 / 1M tokens
Output price
$0.6 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#2Provider / route
Venicevenice/fp8
Uptime (last 30 min)99.77%Speed measurements
500-token response
31.80 s
Response starts
0.55 s
Output speed
16.0 tok/s
Endpoint details
Input price
$0.1875 / 1M tokens
Output price
$0.75 / 1M tokens
Uptime (30 min)
99.77%
Context
256K

Endpoint data fetched .

Mistral Small 4 endpoint guide

How to interpret the Most Reliable Mistral Small 4 Inference Providers

2 of 2 Mistral Small 4 endpoints currently have the published data required for this ranking. Mistral leads at 100.00% via mistral. 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 Mistral with the next option

Venice currently ranks second at 99.77%. 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

Mistral Small 4 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.