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Highest Output-Speed GLM 4.7 Inference Providers

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

Google Vertex currently ranks first at 137.0 tok/s via google-vertex.

Provider options:
9
Ranked:
9
Metric:
Output speed

Highest output speed endpoint ranking

Highest Output-Speed GLM 4.7 Inference Providers
RankProvider / routeOutput speedSpeed measurementsEndpoint details
#1Provider / route
Google Vertexgoogle-vertex
Output speed137.0 tok/sSpeed 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
Output speed96.0 tok/sSpeed 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
Output speed37.0 tok/sSpeed 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
Z.aiz-ai/fp4
Output speed31.0 tok/sSpeed 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
#5Provider / route
Venicevenice/fp4
Output speed27.0 tok/sSpeed 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
#6Provider / route
NovitaAInovita/fp8
Output speed22.0 tok/sSpeed 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
#7Provider / route
StreamLakestreamlake/fp8
Output speed20.0 tok/sSpeed 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
#8Provider / route
Phalaphala
Output speed15.0 tok/sSpeed 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
#9Provider / route
AtlasCloudatlas-cloud/fp8
Output speed10.0 tok/sSpeed 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

Endpoint data fetched .

GLM 4.7 endpoint guide

How to interpret the Highest Output-Speed 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 137.0 tok/s via google-vertex. 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 Google Vertex with the next option

Cerebras currently ranks second at 96.0 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

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.