OpenAI compatible API · Attested · Public status

Meta: Llama 3.1 8B Instruct vs MoonshotAI: Kimi K3

Meta: Llama 3.1 8B Instruct 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

Monthly evidence

Meta: Llama 3.1 8B 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.

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route

$12.3435/1MMoonshotAI: Kimi K3 cheapest route

1219 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via wandb

1143 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via fireworks

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 3.1 8B InstructMoonshotAI: Kimi K3

Model idmeta-llama/llama-3.1-8b-instructmoonshotai/kimi-k3

Publisher Cerebras Kimi

AI IQ — IQ 128#14

Context131,072 tokens1,048,576 tokens

Credits provider routes424

Cheapest route$0.07385/1M$12.3435/1M

Cached input$0.211/1M$0.205725/1M to $1.74075/1M

Privacy posturehas ZDR routehas provider E2EE route

Fastest measured p50 TTFT1219 ms via wandb1143 ms via fireworks

Highest measured throughputnot enough data155 tok/s via venice

Recent route uptime range100.00%80.00% to 100.00%

Modes chat chat

Meta: Llama 3.1 8B Instruct routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

MoonshotAI: Kimi K3 routes

Overview24 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-3.1-8b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.1 8B Instruct or MoonshotAI: Kimi K3?

Is Meta: Llama 3.1 8B Instruct or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.07385/1M for Meta: Llama 3.1 8B Instruct and $12.3435/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 8B Instruct or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is 1219 ms for Meta: Llama 3.1 8B Instruct and 1143 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 3.1 8B 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-3.1-8b-instruct and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.