OpenAI compatible API. Attested gateway. Public status.
MoonshotAI: Kimi K2.7 Code vs Google: Gemini 3.1 Flash Lite
Compare MoonshotAI: Kimi K2.7 Code and Google: Gemini 3.1 Flash Lite by providers, context, price, and TrustedRouter route support.
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
Google: Gemini 3.1 Flash Lite has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while Google: Gemini 3.1 Flash Lite has the larger context window. Probe-backed speed data is shown when enough recent samples exist.
$5.445/1MMoonshotAI: Kimi K2.7 Code cheapest route
$1.925/1MGoogle: Gemini 3.1 Flash Lite cheapest route
1954 msMoonshotAI: Kimi K2.7 Code measured p50 TTFT
not enough dataGoogle: Gemini 3.1 Flash Lite measured p50 TTFT
MoonshotAI: Kimi K2.7 CodeGoogle: Gemini 3.1 Flash Lite
Model id
moonshotai/kimi-k2.7-codegoogle/gemini-3.1-flash-lite
PublisherKimiGemini
Context262,144 tokens1,048,576 tokens
Provider routes42
Cheapest route$5.445/1M$1.925/1M
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
Google: Gemini 3.1 Flash Lite routes
- Overview2 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,
)