OpenAI compatible API. Attested gateway. Public status.

Meta: Llama 3.3 70B Instruct vs MoonshotAI: Kimi K2.7 Code

Compare Meta: Llama 3.3 70B Instruct and MoonshotAI: Kimi K2.7 Code 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 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while MoonshotAI: Kimi K2.7 Code has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.

$0.5885/1MMeta: Llama 3.3 70B Instruct cheapest route
$5.445/1MMoonshotAI: Kimi K2.7 Code cheapest route
662 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
1954 msMoonshotAI: Kimi K2.7 Code measured p50 TTFT
Meta: Llama 3.3 70B InstructMoonshotAI: Kimi K2.7 Code
Model idmeta-llama/llama-3.3-70b-instructmoonshotai/kimi-k2.7-code
PublisherCerebrasKimi
Context131,072 tokens262,144 tokens
Provider routes94
Cheapest route$0.5885/1M$5.445/1M
Privacy posturehas provider E2EE routeprovider posture varies
Modes chat chat

Meta: Llama 3.3 70B Instruct routes

MoonshotAI: Kimi K2.7 Code routes

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="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)

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