OpenAI compatible API · Attested · Public status

Meta: Llama 4 Maverick vs MoonshotAI: Kimi K2.7 Code

Compare Meta: Llama 4 Maverick 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

Meta: Llama 4 Maverick has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while Meta: Llama 4 Maverick has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$1.176/1MMeta: Llama 4 Maverick cheapest route

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

not enough dataMeta: Llama 4 Maverick measured p50 TTFT

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

Meta: Llama 4 MaverickMoonshotAI: Kimi K2.7 Code

Model idmeta-llama/llama-4-maverickmoonshotai/kimi-k2.7-code

PublisherCerebrasKimi

AI IQ IQ 90#90 IQ 118#22

Context1,048,576 tokens262,144 tokens

Provider routes419

Cheapest route$1.176/1M$4.431/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

Meta: Llama 4 Maverick 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="meta-llama/llama-4-maverick",
    messages=messages,
)