OpenAI compatible API · Attested · Public status

@cf/meta/llama-3.2-1b-instruct vs MoonshotAI: Kimi K2.6

@cf/meta/llama-3.2-1b-instruct vs MoonshotAI: Kimi K2.6: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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

Monthly evidence

@cf/meta/llama-3.2-1b-instruct has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.6 has more provider fallback routes, while MoonshotAI: Kimi K2.6 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.24054/1M@cf/meta/llama-3.2-1b-instruct cheapest route

$4.1989/1MMoonshotAI: Kimi K2.6 cheapest route

not enough data@cf/meta/llama-3.2-1b-instruct fastest measured p50 TTFT

624 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via baseten

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

@cf/meta/llama-3.2-1b-instructMoonshotAI: Kimi K2.6

Model idmeta-llama/llama-3.2-1b-instructmoonshotai/kimi-k2.6

Publisher Cerebras Kimi

AI IQ — IQ 119#25

Context60,000 tokens262,144 tokens

Provider routes132

Cheapest route$0.24054/1M$4.1989/1M

Privacy postureprovider posture varieshas provider E2EE route

Fastest measured p50 TTFTnot enough data624 ms via baseten

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data100.00%

Modes chat chat

@cf/meta/llama-3.2-1b-instruct routes

Overview1 endpoints

MoonshotAI: Kimi K2.6 routes

Overview32 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

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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-3.2-1b-instruct",
    messages=messages,
)

Questions

Which should I use, @cf/meta/llama-3.2-1b-instruct or MoonshotAI: Kimi K2.6?

Is @cf/meta/llama-3.2-1b-instruct or MoonshotAI: Kimi K2.6 cheaper?

The current cheapest TrustedRouter route is $0.24054/1M for @cf/meta/llama-3.2-1b-instruct and $4.1989/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.

Is @cf/meta/llama-3.2-1b-instruct or MoonshotAI: Kimi K2.6 faster?

Current measured p50 time to first token is not enough data for @cf/meta/llama-3.2-1b-instruct and 624 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test @cf/meta/llama-3.2-1b-instruct and MoonshotAI: Kimi K2.6 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between meta-llama/llama-3.2-1b-instruct and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.