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Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Qwen3 Coder 480B A35B Instruct INT4 Mixed AR 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

Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR 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.

$2.906526/1MIntel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR cheapest route
$11.97425/1MMoonshotAI: Kimi K3 cheapest route
not enough dataIntel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR fastest measured p50 TTFT
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.

Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed ARMoonshotAI: Kimi K3
Model idintel/qwen3-coder-480b-a35b-instruct-int4-mixed-armoonshotai/kimi-k3
PublisherIntel Kimi
AI IQ — IQ 127#21
Context106,000 tokens1,048,576 tokens
Credits provider routes128
Cheapest route$2.906526/1M$11.97425/1M
Cached input$0.24331/1M$0.195175/1M to $1.897945/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFTnot enough data980 ms via lyceum
Highest measured throughputnot enough data172 tok/s via sail-research
Recent route uptime rangenot enough data84.62% to 100.00%
Modes chat chat

Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR routes

MoonshotAI: Kimi K3 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="intel/qwen3-coder-480b-a35b-instruct-int4-mixed-ar",
    messages=messages,
)

Questions

Which should I use, Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR or MoonshotAI: Kimi K3?

Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR 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.

Is Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $2.906526/1M for Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR 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 Intel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR 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 intel/qwen3-coder-480b-a35b-instruct-int4-mixed-ar and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.

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