OpenAI compatible API · Attested · Public status

meta-llama/Llama-3.3-70B-Instruct-Turbo vs MoonshotAI: Kimi K3

meta-llama/Llama-3.3-70B-Instruct-Turbo vs MoonshotAI: Kimi K3: 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

meta-llama/Llama-3.3-70B-Instruct-Turbo has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K3 has more provider fallback routes, while MoonshotAI: Kimi K3 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.441/1Mmeta-llama/Llama-3.3-70B-Instruct-Turbo cheapest route

$16.065/1MMoonshotAI: Kimi K3 cheapest route

not enough datameta-llama/Llama-3.3-70B-Instruct-Turbo fastest measured p50 TTFT

1399 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via together

meta-llama/Llama-3.3-70B-Instruct-TurboMoonshotAI: Kimi K3

Model idmeta-llama/llama-3.3-70b-instruct-turbomoonshotai/kimi-k3

Publisher Cerebras Kimi

AI IQ — IQ 123#14

Context131,072 tokens1,048,576 tokens

Provider routes233

Cheapest route$0.441/1M$16.065/1M

Privacy postureprovider posture varieshas provider E2EE route

Fastest measured p50 TTFTnot enough data1399 ms via together

Highest measured throughputnot enough data57 tok/s via baseten

Recent route uptime rangenot enough data0.00% to 100.00%

Modes chat chat

meta-llama/Llama-3.3-70B-Instruct-Turbo routes

Overview2 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

MoonshotAI: Kimi K3 routes

Overview33 endpoints
PricingPrompt and completion rates
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-3.3-70b-instruct-turbo",
    messages=messages,
)

Questions

Which should I use, meta-llama/Llama-3.3-70B-Instruct-Turbo or MoonshotAI: Kimi K3?

Is meta-llama/Llama-3.3-70B-Instruct-Turbo or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.441/1M for meta-llama/Llama-3.3-70B-Instruct-Turbo and $16.065/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is meta-llama/Llama-3.3-70B-Instruct-Turbo or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for meta-llama/Llama-3.3-70B-Instruct-Turbo and 1399 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test meta-llama/Llama-3.3-70B-Instruct-Turbo and MoonshotAI: Kimi K3 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-3.3-70b-instruct-turbo and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.