OpenAI compatible API · Attested · Public status

MiniMax M2.5-highspeed vs MoonshotAI: Kimi K2.7 Code

Compare MiniMax M2.5-highspeed and MoonshotAI: Kimi K2.7 Code by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

Compare routesProviders, price, context, and policy posture in one view.

Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.

Same API shapeUse the OpenAI client and set the model you want.

Practical read

MiniMax M2.5-highspeed has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while MoonshotAI: Kimi K2.7 Code has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$3.15/1MMiniMax M2.5-highspeed cheapest route

$4.431/1MMoonshotAI: Kimi K2.7 Code cheapest route

not enough dataMiniMax M2.5-highspeed measured p50 TTFT

not enough dataMoonshotAI: Kimi K2.7 Code measured p50 TTFT

MiniMax M2.5-highspeedMoonshotAI: Kimi K2.7 Code

Model idminimax/minimax-m2.5-highspeedmoonshotai/kimi-k2.7-code

PublisherNovita AIKimi

AI IQ — IQ 118#22

Context204,800 tokens262,144 tokens

Provider routes419

Cheapest route$3.15/1M$4.431/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

MiniMax M2.5-highspeed routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

MoonshotAI: Kimi K2.7 Code routes

Overview19 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython

client = OpenAI(
    base_url="https://gchircrcif.eu-west-3.awsapprunner.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="minimax/minimax-m2.5-highspeed",
    messages=messages,
)