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Cheapest Kimi K2.7 Code Inference Providers

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

Ambient currently ranks first at $1.642667 / 1M tokens via ambient/int4.

Provider options:
15
Ranked:
15
Metric:
Estimated cost / 1M tokens

Cheapest endpoint ranking

Cheapest Kimi K2.7 Code Inference Providers
RankProvider / routeEstimated cost / 1M tokensSpeed measurementsEndpoint details
#1Provider / route
Ambientambient/int4
Estimated cost / 1M tokens$1.642667 / 1M tokensSpeed measurements
500-token response
12.28 s
Response starts
1.16 s
Output speed
45.0 tok/s
Endpoint details
Input price
$0.719 / 1M tokens
Output price
$3.49 / 1M tokens
Uptime (30 min)
99.94%
Context
262.1K
#2Provider / route
Inceptroninceptron/int4
Estimated cost / 1M tokens$1.646667 / 1M tokensSpeed measurements
500-token response
6.16 s
Response starts
0.67 s
Output speed
91.0 tok/s
Endpoint details
Input price
$0.72 / 1M tokens
Output price
$3.5 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#3Provider / route
DeepInfradeepinfra/fp4
Estimated cost / 1M tokens$1.66 / 1M tokensSpeed measurements
500-token response
6.96 s
Response starts
0.51 s
Output speed
77.5 tok/s
Endpoint details
Input price
$0.74 / 1M tokens
Output price
$3.5 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#4Provider / route
Venicevenice/int4
Estimated cost / 1M tokens$1.666667 / 1M tokensSpeed measurements
500-token response
7.05 s
Response starts
1.17 s
Output speed
85.0 tok/s
Endpoint details
Input price
$0.75 / 1M tokens
Output price
$3.5 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
256K
#5Provider / route
Parasailparasail/int4
Estimated cost / 1M tokens$1.673333 / 1M tokensSpeed measurements
500-token response
7.61 s
Response starts
0.99 s
Output speed
75.5 tok/s
Endpoint details
Input price
$0.76 / 1M tokens
Output price
$3.5 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K
#6Provider / route
ModelRunmodelrun/fp4
Estimated cost / 1M tokens$1.816667 / 1M tokensSpeed measurements
500-token response
3.72 s
Response starts
0.32 s
Output speed
147.0 tok/s
Endpoint details
Input price
$0.85 / 1M tokens
Output price
$3.75 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#7Provider / route
SiliconFlowsiliconflow/fp8
Estimated cost / 1M tokens$1.83944 / 1M tokensSpeed measurements
500-token response
13.89 s
Response starts
1.54 s
Output speed
40.5 tok/s
Endpoint details
Input price
$0.8592 / 1M tokens
Output price
$3.8 / 1M tokens
Uptime (30 min)
99.63%
Context
262.1K
#8Provider / route
NovitaAInovita/int4
Estimated cost / 1M tokens$1.888 / 1M tokensSpeed measurements
500-token response
64.23 s
Response starts
1.73 s
Output speed
8.0 tok/s
Endpoint details
Input price
$0.912 / 1M tokens
Output price
$3.84 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K
#9Provider / route
Estimated cost / 1M tokens$1.96 / 1M tokensSpeed measurements
500-token response
3.05 s
Response starts
0.43 s
Output speed
191.0 tok/s
Endpoint details
Input price
$0.94 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K
#10Provider / route
Moonshot AImoonshotai/int4
Estimated cost / 1M tokens$1.966667 / 1M tokensSpeed measurements
500-token response
15.85 s
Response starts
1.96 s
Output speed
36.0 tok/s
Endpoint details
Input price
$0.95 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#11Provider / route
Cloudflarecloudflare
Estimated cost / 1M tokens$1.966667 / 1M tokensSpeed measurements
500-token response
11.89 s
Response starts
2.46 s
Output speed
53.0 tok/s
Endpoint details
Input price
$0.95 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K
#12Provider / route
AtlasCloudatlas-cloud/int4
Estimated cost / 1M tokens$1.966667 / 1M tokensSpeed measurements
500-token response
26.20 s
Response starts
1.20 s
Output speed
20.0 tok/s
Endpoint details
Input price
$0.95 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K
#13Provider / route
Togethertogether
Estimated cost / 1M tokens$1.966667 / 1M tokensSpeed measurements
500-token response
3.75 s
Response starts
0.46 s
Output speed
152.0 tok/s
Endpoint details
Input price
$0.95 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#14Provider / route
Fireworksfireworks
Estimated cost / 1M tokens$1.966667 / 1M tokensSpeed measurements
500-token response
7.45 s
Response starts
1.16 s
Output speed
79.5 tok/s
Endpoint details
Input price
$0.95 / 1M tokens
Output price
$4 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K
#15Provider / route
Moonshot AImoonshotai/highspeed
Estimated cost / 1M tokens$3.933333 / 1M tokensSpeed measurements
500-token response
9.86 s
Response starts
1.93 s
Output speed
63.0 tok/s
Endpoint details
Input price
$1.9 / 1M tokens
Output price
$8 / 1M tokens
Uptime (30 min)
Insufficient recent data
Context
262.1K

Endpoint data fetched .

Kimi K2.7 Code endpoint guide

How to interpret the Cheapest Kimi K2.7 Code Inference Providers

15 of 15 Kimi K2.7 Code endpoints currently have the published data required for this ranking. Ambient leads at $1.642667 / 1M tokens via ambient/int4. 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 Ambient with the next option

Inceptron currently ranks second at $1.646667 / 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

Kimi K2.7 Code has 15 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.