OpenAI compatible API. Attested gateway. Public status.

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

Compare MoonshotAI: Kimi K2.7 Code and Meta: Llama 4 Maverick by providers, context, price, and TrustedRouter route support.

Verify gateway

1 URLbase_url migration

100smodels and routes

0prompt logs by default

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. Current TrustedRouter probes show Meta: Llama 4 Maverick with the lower p50 TTFT.

$5.445/1MMoonshotAI: Kimi K2.7 Code cheapest route

$1.485/1MMeta: Llama 4 Maverick cheapest route

1954 msMoonshotAI: Kimi K2.7 Code measured p50 TTFT

834 msMeta: Llama 4 Maverick measured p50 TTFT

MoonshotAI: Kimi K2.7 CodeMeta: Llama 4 Maverick

Model idmoonshotai/kimi-k2.7-codemeta-llama/llama-4-maverick

PublisherKimiCerebras

Context262,144 tokens1,048,576 tokens

Provider routes43

Cheapest route$5.445/1M$1.485/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Overview4 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Meta: Llama 4 Maverick routes

Overview3 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://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k2.7-code",
    messages=messages,
)