OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K3 vs @cf/qwen/qwen3-30b-a3b-fp8

MoonshotAI: Kimi K3 vs @cf/qwen/qwen3-30b-a3b-fp8: 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

MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. @cf/qwen/qwen3-30b-a3b-fp8 has the lower published input-plus-output rate.

$12.3435/1MMoonshotAI: Kimi K3 cheapest route
$0.407125/1M@cf/qwen/qwen3-30b-a3b-fp8 cheapest route
914 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via wafer
1348 ms@cf/qwen/qwen3-30b-a3b-fp8 fastest measured p50 TTFT via cloudflare-workers-ai

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.

MoonshotAI: Kimi K3@cf/qwen/qwen3-30b-a3b-fp8
Model idmoonshotai/kimi-k3qwen/qwen3-30b-a3b-fp8
AI IQ IQ 121#23
Context1,048,576 tokens32,768 tokens
Credits provider routes231
Cheapest route$12.3435/1M$0.407125/1M
Cached input$0.205725/1M to $1.598325/1MNot published
Privacy posturehas provider E2EE routeprovider posture varies
Fastest measured p50 TTFT914 ms via wafer1348 ms via cloudflare-workers-ai
Highest measured throughputnot enough datanot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K3 routes

@cf/qwen/qwen3-30b-a3b-fp8 routes

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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="moonshotai/kimi-k3",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K3 or @cf/qwen/qwen3-30b-a3b-fp8?

MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. @cf/qwen/qwen3-30b-a3b-fp8 has the lower published input-plus-output rate.

Is MoonshotAI: Kimi K3 or @cf/qwen/qwen3-30b-a3b-fp8 cheaper?

The current cheapest TrustedRouter route is $12.3435/1M for MoonshotAI: Kimi K3 and $0.407125/1M for @cf/qwen/qwen3-30b-a3b-fp8. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or @cf/qwen/qwen3-30b-a3b-fp8 faster?

Current measured p50 time to first token is 914 ms for MoonshotAI: Kimi K3 and 1348 ms for @cf/qwen/qwen3-30b-a3b-fp8. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and @cf/qwen/qwen3-30b-a3b-fp8 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k3 and qwen/qwen3-30b-a3b-fp8. This makes side-by-side evals possible without maintaining two provider integrations.

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