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Fastest First-Token GLM 4.7 Inference Providers

Ranks providers by how quickly the first generated token appears. Providers without enough recent data remain visible after ranked rows.

Cerebras currently ranks first at 0.37 s via cerebras/fp16.

Provider options:
9
Ranked:
9
Metric:
Time to first token

Fastest first token endpoint ranking

Fastest First-Token GLM 4.7 Inference Providers
RankProvider / routeTime to first tokenSpeed measurementsEndpoint details
#1Provider / route
Cerebrascerebras/fp16
Time to first token0.37 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
#2Provider / route
Google Vertexgoogle-vertex
Time to first token0.52 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
#3Provider / route
DeepInfradeepinfra/fp4
Time to first token0.89 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
Venicevenice/fp4
Time to first token1.05 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
#5Provider / route
Phalaphala
Time to first token1.68 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
#6Provider / route
StreamLakestreamlake/fp8
Time to first token1.75 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
#7Provider / route
AtlasCloudatlas-cloud/fp8
Time to first token1.86 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
#8Provider / route
NovitaAInovita/fp8
Time to first token2.79 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
#9Provider / route
Z.aiz-ai/fp4
Time to first token12.23 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

Endpoint data fetched .

GLM 4.7 endpoint guide

How to interpret the Fastest First-Token GLM 4.7 Inference Providers

9 of 9 GLM 4.7 endpoints currently have the published data required for this ranking. Cerebras leads at 0.37 s via cerebras/fp16. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How response-start time is ranked

The first-token ranking orders endpoints by the recent median time before output begins. This is useful for interactive applications, but it should be read alongside throughput because the first provider to start is not always the first to finish a long answer.

Compare Cerebras with the next option

Google Vertex currently ranks second at 0.52 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.