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Cheapest GLM 4.7 Inference Providers

Ranks providers by estimated cost using a 1,000-input/500-output token ratio, shown per 1 million total tokens.

DeepInfra currently ranks first at $0.85 / 1M tokens via deepinfra/fp4.

Provider options:
9
Ranked:
9
Metric:
Estimated cost / 1M tokens

Cheapest endpoint ranking

Cheapest GLM 4.7 Inference Providers
RankProvider / routeEstimated cost / 1M tokensSpeed measurementsEndpoint details
#1Provider / route
DeepInfradeepinfra/fp4
Estimated cost / 1M tokens$0.85 / 1M tokensSpeed 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
#2Provider / route
StreamLakestreamlake/fp8
Estimated cost / 1M tokens$0.906667 / 1M tokensSpeed 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
#3Provider / route
AtlasCloudatlas-cloud/fp8
Estimated cost / 1M tokens$0.963333 / 1M tokensSpeed 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
#4Provider / route
NovitaAInovita/fp8
Estimated cost / 1M tokens$1.02 / 1M tokensSpeed 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
#5Provider / route
Z.aiz-ai/fp4
Estimated cost / 1M tokens$1.133333 / 1M tokensSpeed 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
#6Provider / route
Google Vertexgoogle-vertex
Estimated cost / 1M tokens$1.133333 / 1M tokensSpeed 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
#7Provider / route
Venicevenice/fp4
Estimated cost / 1M tokens$1.25 / 1M tokensSpeed 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
#8Provider / route
Phalaphala
Estimated cost / 1M tokens$1.666667 / 1M tokensSpeed 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
Cerebrascerebras/fp16
Estimated cost / 1M tokens$2.416667 / 1M tokensSpeed 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

Endpoint data fetched .

GLM 4.7 endpoint guide

How to interpret the Cheapest GLM 4.7 Inference Providers

9 of 9 GLM 4.7 endpoints currently have the published data required for this ranking. DeepInfra leads at $0.85 / 1M tokens via deepinfra/fp4. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How estimated token cost is ranked

The cheapest ranking uses a 1,000-input/500-output-token ratio and reports the blended result per 1 million total tokens. Because providers can price input and output differently, a workload with a different token ratio may produce a different order.

Compare DeepInfra with the next option

StreamLake currently ranks second at $0.906667 / 1M tokens. 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.