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Meta: Llama 3.3 70B Instruct vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and Kimi K3. Switch by changing the model name.

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

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

1234 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via scaleway

980 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via lyceum

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. 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.

Meta: Llama 3.3 70B InstructMoonshotAI: Kimi K3

Model idmeta-llama/llama-3.3-70b-instructmoonshotai/kimi-k3

Publisher Meta Kimi

AI IQ — IQ 127#21

Context131,072 tokens1,048,576 tokens

Credits provider routes1028

Cheapest route$0.564425/1M$11.97425/1M

Cached input$0.1055/1M to $0.633/1M$0.195175/1M to $1.897945/1M

Privacy posturehas Confidential route (E2EE + ZDR)has Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT1234 ms via scaleway980 ms via lyceum

Highest measured throughputnot enough data127 tok/s via nebius

Recent route uptime range100.00%84.62% to 100.00%

Modes chat decide chat

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

MoonshotAI: Kimi K3 routes

Overview28 Credits routes
PricingInput, cached input, and output 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",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or MoonshotAI: Kimi K3?

Is Meta: Llama 3.3 70B Instruct or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is 1234 ms for Meta: Llama 3.3 70B Instruct and 980 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 3.3 70B Instruct 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 and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.