OpenAI compatible API · Attested · Public status
MoonshotAI: Kimi K2.7 Code vs Meta: Llama 3.3 70B Instruct
Compare MoonshotAI: Kimi K2.7 Code and Meta: Llama 3.3 70B Instruct by providers, context, price, and TrustedRouter route support.
Onebase URL to migrate
100sof models and routes
Noneprompt 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 3.3 70B Instruct 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. Current TrustedRouter probes show MoonshotAI: Kimi K2.7 Code with the lower p50 TTFT.
$1.76526/1MMoonshotAI: Kimi K2.7 Code cheapest route
$0.526575/1MMeta: Llama 3.3 70B Instruct cheapest route
2041 msMoonshotAI: Kimi K2.7 Code measured p50 TTFT
2217 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
MoonshotAI: Kimi K2.7 CodeMeta: Llama 3.3 70B Instruct
Model id
moonshotai/kimi-k2.7-codemeta-llama/llama-3.3-70b-instruct
PublisherKimiCerebras
Context262,144 tokens131,072 tokens
Provider routes1714
Cheapest route$1.76526/1M$0.526575/1M
Privacy posturehas ZDR routehas provider E2EE route
Modes
chat
chat
MoonshotAI: Kimi K2.7 Code routes
- Overview17 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
Meta: Llama 3.3 70B Instruct routes
- Overview14 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,
)