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Cheapest GLM 4.5V Inference Providers

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

NovitaAI currently ranks first at $1 / 1M tokens via novita/fp8.

Provider options:
2
Ranked:
2
Metric:
Estimated cost / 1M tokens

Cheapest endpoint ranking

Cheapest GLM 4.5V Inference Providers
RankProvider / routeEstimated cost / 1M tokensSpeed measurementsEndpoint details
#1Provider / route
NovitaAInovita/fp8
Estimated cost / 1M tokens$1 / 1M tokensSpeed measurements
500-token response
25.86 s
Response starts
0.86 s
Output speed
20.0 tok/s
Endpoint details
Input price
$0.6 / 1M tokens
Output price
$1.8 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
65.5K
#2Provider / route
Z.aiz-ai/fp8
Estimated cost / 1M tokens$1 / 1M tokensSpeed measurements
500-token response
23.91 s
Response starts
2.17 s
Output speed
23.0 tok/s
Endpoint details
Input price
$0.6 / 1M tokens
Output price
$1.8 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
65.5K

Endpoint data fetched .

GLM 4.5V endpoint guide

How to interpret the Cheapest GLM 4.5V Inference Providers

2 of 2 GLM 4.5V endpoints currently have the published data required for this ranking. NovitaAI leads at $1 / 1M tokens via novita/fp8. 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 NovitaAI with the next option

Z.ai currently ranks second at $1 / 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 4.5V 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.