OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.5 vs Meta: Llama 3.3 70B Instruct

Compare MoonshotAI: Kimi K2.5 and Meta: Llama 3.3 70B Instruct by providers, context, price, and TrustedRouter route support.

Verify gateway

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 K2.5 has more provider fallback routes, while MoonshotAI: Kimi K2.5 has the larger context window. Current TrustedRouter probes show MoonshotAI: Kimi K2.5 with the lower p50 TTFT.

$2.52/1MMoonshotAI: Kimi K2.5 cheapest route

$0.526575/1MMeta: Llama 3.3 70B Instruct cheapest route

2157 msMoonshotAI: Kimi K2.5 measured p50 TTFT

2217 msMeta: Llama 3.3 70B Instruct measured p50 TTFT

MoonshotAI: Kimi K2.5Meta: Llama 3.3 70B Instruct

Model idmoonshotai/kimi-k2.5meta-llama/llama-3.3-70b-instruct

PublisherKimiCerebras

AI IQ IQ 111#39 —

Context262,144 tokens131,072 tokens

Provider routes1614

Cheapest route$2.52/1M$0.526575/1M

Privacy posturehas confidential-compute routehas provider E2EE route

Modes chat chat

MoonshotAI: Kimi K2.5 routes

Overview16 endpoints
PricingPrompt and completion rates
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-k2.5",
    messages=messages,
)