OpenAI compatible API · Attested · Public status

@cf/meta/llama-3.1-8b-instruct-fp8 vs MoonshotAI: Kimi K3

@cf/meta/llama-3.1-8b-instruct-fp8 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

@cf/meta/llama-3.1-8b-instruct-fp8 has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.463145/1M@cf/meta/llama-3.1-8b-instruct-fp8 cheapest route

$12.3435/1MMoonshotAI: Kimi K3 cheapest route

not enough data@cf/meta/llama-3.1-8b-instruct-fp8 fastest measured p50 TTFT

964 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via wafer

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.

@cf/meta/llama-3.1-8b-instruct-fp8MoonshotAI: Kimi K3

Model idmeta-llama/llama-3.1-8b-instruct-fp8moonshotai/kimi-k3

Publisher Cerebras Kimi

AI IQ — IQ 128#13

Context32,000 tokens1,048,576 tokens

Credits provider routes124

Cheapest route$0.463145/1M$12.3435/1M

Cached inputNot published$0.205725/1M to $1.6458/1M

Privacy postureprovider posture varieshas provider E2EE route

Fastest measured p50 TTFTnot enough data964 ms via wafer

Highest measured throughputnot enough data107 tok/s via sail-research

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

Modes chat chat

@cf/meta/llama-3.1-8b-instruct-fp8 routes

Overview1 Credits routes

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-fp8",
    messages=messages,
)

Questions

Which should I use, @cf/meta/llama-3.1-8b-instruct-fp8 or MoonshotAI: Kimi K3?

Is @cf/meta/llama-3.1-8b-instruct-fp8 or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.463145/1M for @cf/meta/llama-3.1-8b-instruct-fp8 and $12.3435/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is @cf/meta/llama-3.1-8b-instruct-fp8 or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for @cf/meta/llama-3.1-8b-instruct-fp8 and 964 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test @cf/meta/llama-3.1-8b-instruct-fp8 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-fp8 and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.