OpenAI compatible API · Attested · Public status

Meta: Llama Guard 4 12B vs MoonshotAI: Kimi K2.6

Meta: Llama Guard 4 12B 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

Meta: Llama Guard 4 12B has the lower published input-plus-output rate. MoonshotAI: Kimi K2.6 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.3798/1MMeta: Llama Guard 4 12B cheapest route
$2.611442/1MMoonshotAI: Kimi K2.6 cheapest route
not enough dataMeta: Llama Guard 4 12B fastest measured p50 TTFT
1260 msMoonshotAI: Kimi K2.6 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 Guard 4 12BMoonshotAI: Kimi K2.6
Model idmeta-llama/llama-guard-4-12bmoonshotai/kimi-k2.6
AI IQ IQ 118#35
Context163,840 tokens262,144 tokens
Credits provider routes119
Cheapest route$0.3798/1M$2.611442/1M
Cached inputNot published$0.05275/1M to $0.38191/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFTnot enough data1260 ms via fireworks
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough data85.71% to 100.00%
Modes chat chat

Meta: Llama Guard 4 12B routes

MoonshotAI: Kimi K2.6 routes

Related comparisons

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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-guard-4-12b",
    messages=messages,
)

Questions

Which should I use, Meta: Llama Guard 4 12B or MoonshotAI: Kimi K2.6?

Meta: Llama Guard 4 12B has the lower published input-plus-output rate. MoonshotAI: Kimi K2.6 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is Meta: Llama Guard 4 12B or MoonshotAI: Kimi K2.6 cheaper?

The current cheapest TrustedRouter route is $0.3798/1M for Meta: Llama Guard 4 12B and $2.611442/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama Guard 4 12B or MoonshotAI: Kimi K2.6 faster?

Current measured p50 time to first token is not enough data for Meta: Llama Guard 4 12B and 1260 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama Guard 4 12B 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-guard-4-12b and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.

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