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Cheapest Claude Sonnet 4.6 Inference Providers

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

Anthropic currently ranks first at $7 / 1M tokens via anthropic/2.

Provider options:
8
Ranked:
8
Metric:
Estimated cost / 1M tokens

Cheapest endpoint ranking

Cheapest Claude Sonnet 4.6 Inference Providers
RankProvider / routeEstimated cost / 1M tokensSpeed measurementsEndpoint details
#1Provider / route
Anthropicanthropic/2
Estimated cost / 1M tokens$7 / 1M tokensSpeed measurements
500-token response
14.04 s
Response starts
1.22 s
Output speed
39.0 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$15 / 1M tokens
Uptime (30 min)
99.99%
Context
1M
#2Provider / route
Azureazure/us-east-2
Estimated cost / 1M tokens$7 / 1M tokensSpeed measurements
500-token response
15.41 s
Response starts
2.75 s
Output speed
39.5 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$15 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
1M
#3Provider / route
Google Vertexgoogle-vertex/global
Estimated cost / 1M tokens$7 / 1M tokensSpeed measurements
500-token response
14.41 s
Response starts
1.26 s
Output speed
38.0 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$15 / 1M tokens
Uptime (30 min)
100.00%
Context
1M
#4Provider / route
Anthropicanthropic
Estimated cost / 1M tokens$7 / 1M tokensSpeed measurements
500-token response
17.32 s
Response starts
1.19 s
Output speed
31.0 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$15 / 1M tokens
Uptime (30 min)
99.95%
Context
1M
#5Provider / route
Amazon Bedrockamazon-bedrock/global
Estimated cost / 1M tokens$7 / 1M tokensSpeed measurements
500-token response
10.88 s
Response starts
0.88 s
Output speed
50.0 tok/s
Endpoint details
Input price
$3 / 1M tokens
Output price
$15 / 1M tokens
Uptime (30 min)
100.00%
Context
1M
#6Provider / route
Google Vertexgoogle-vertex/europe
Estimated cost / 1M tokens$7.7 / 1M tokensSpeed measurements
500-token response
22.17 s
Response starts
1.33 s
Output speed
24.0 tok/s
Endpoint details
Input price
$3.3 / 1M tokens
Output price
$16.5 / 1M tokens
Uptime (30 min)
100.00%
Context
1M
#7Provider / route
Google Vertexgoogle-vertex/us-east5
Estimated cost / 1M tokens$7.7 / 1M tokensSpeed measurements
500-token response
11.65 s
Response starts
1.44 s
Output speed
49.0 tok/s
Endpoint details
Input price
$3.3 / 1M tokens
Output price
$16.5 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
1M
#8Provider / route
Amazon Bedrockamazon-bedrock/eu-west-1
Estimated cost / 1M tokens$7.7 / 1M tokensSpeed measurements
500-token response
12.19 s
Response starts
1.55 s
Output speed
47.0 tok/s
Endpoint details
Input price
$3.3 / 1M tokens
Output price
$16.5 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
1M

Endpoint data fetched .

Claude Sonnet 4.6 endpoint guide

How to interpret the Cheapest Claude Sonnet 4.6 Inference Providers

8 of 8 Claude Sonnet 4.6 endpoints currently have the published data required for this ranking. Anthropic leads at $7 / 1M tokens via anthropic/2. 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 Anthropic with the next option

Azure currently ranks second at $7 / 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

Claude Sonnet 4.6 has 8 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.