Skip to content

Most Reliable GLM 4.7 Inference Providers

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

Google Vertex currently ranks first at 100.00% via google-vertex.

Provider options:
9
Ranked:
9
Metric:
Uptime (last 30 min)

Highest uptime endpoint ranking

Most Reliable GLM 4.7 Inference Providers
RankProvider / routeUptime (last 30 min)Speed measurementsEndpoint details
#1Provider / route
Google Vertexgoogle-vertex
Uptime (last 30 min)100.00%Speed measurements
500-token response
4.16 s
Response starts
0.52 s
Output speed
137.0 tok/s
Endpoint details
Input price
$0.6 / 1M tokens
Output price
$2.2 / 1M tokens
Uptime (30 min)
100.00%
Context
200K
#2Provider / route
Cerebrascerebras/fp16
Uptime (last 30 min)100.00%Speed measurements
500-token response
5.58 s
Response starts
0.37 s
Output speed
96.0 tok/s
Endpoint details
Input price
$2.25 / 1M tokens
Output price
$2.75 / 1M tokens
Uptime (30 min)
100.00%
Context
131.1K
#3Provider / route
DeepInfradeepinfra/fp4
Uptime (last 30 min)99.98%Speed measurements
500-token response
14.40 s
Response starts
0.89 s
Output speed
37.0 tok/s
Endpoint details
Input price
$0.4 / 1M tokens
Output price
$1.75 / 1M tokens
Uptime (30 min)
99.98%
Context
202.8K
#4Provider / route
Venicevenice/fp4
Uptime (last 30 min)99.81%Speed measurements
500-token response
19.57 s
Response starts
1.05 s
Output speed
27.0 tok/s
Endpoint details
Input price
$0.55 / 1M tokens
Output price
$2.65 / 1M tokens
Uptime (30 min)
99.81%
Context
198K
#5Provider / route
Phalaphala
Uptime (last 30 min)97.94%Speed measurements
500-token response
35.02 s
Response starts
1.68 s
Output speed
15.0 tok/s
Endpoint details
Input price
$0.85 / 1M tokens
Output price
$3.3 / 1M tokens
Uptime (30 min)
97.94%
Context
131.1K
#6Provider / route
AtlasCloudatlas-cloud/fp8
Uptime (last 30 min)97.41%Speed measurements
500-token response
51.86 s
Response starts
1.86 s
Output speed
10.0 tok/s
Endpoint details
Input price
$0.52 / 1M tokens
Output price
$1.85 / 1M tokens
Uptime (30 min)
97.41%
Context
202.8K
#7Provider / route
NovitaAInovita/fp8
Uptime (last 30 min)95.11%Speed measurements
500-token response
25.52 s
Response starts
2.79 s
Output speed
22.0 tok/s
Endpoint details
Input price
$0.54 / 1M tokens
Output price
$1.98 / 1M tokens
Uptime (30 min)
95.11%
Context
204.8K
#8Provider / route
StreamLakestreamlake/fp8
Uptime (last 30 min)94.09%Speed measurements
500-token response
26.75 s
Response starts
1.75 s
Output speed
20.0 tok/s
Endpoint details
Input price
$0.48 / 1M tokens
Output price
$1.76 / 1M tokens
Uptime (30 min)
94.09%
Context
200K
#9Provider / route
Z.aiz-ai/fp4
Uptime (last 30 min)92.87%Speed measurements
500-token response
28.36 s
Response starts
12.23 s
Output speed
31.0 tok/s
Endpoint details
Input price
$0.6 / 1M tokens
Output price
$2.2 / 1M tokens
Uptime (30 min)
92.87%
Context
202.8K

Endpoint data fetched .

GLM 4.7 endpoint guide

How to interpret the Most Reliable GLM 4.7 Inference Providers

9 of 9 GLM 4.7 endpoints currently have the published data required for this ranking. Google Vertex leads at 100.00% via google-vertex. 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 Google Vertex with the next option

Cerebras currently ranks second at 100.00%. 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

GLM 4.7 has 9 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.