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MoonshotAI: Kimi K3 vs Qwen: Qwen3.8 2.4T A95B

Try both on us. Starter credit covers your first requests, then one key routes Kimi K3 and Qwen3.8 2.4T A95B. 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

MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3.8 2.4T A95B has the lower published input-plus-output rate.

$11.97425/1MMoonshotAI: Kimi K3 cheapest route
$5.275/1MQwen: Qwen3.8 2.4T A95B cheapest route
980 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via lyceum
1535 msQwen: Qwen3.8 2.4T A95B 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.

MoonshotAI: Kimi K3Qwen: Qwen3.8 2.4T A95B
Model idmoonshotai/kimi-k3qwen/qwen3.8-2.4t-a95b
Context1,048,576 tokens1,000,000 tokens
Credits provider routes286
Cheapest route$11.97425/1M$5.275/1M
Cached input$0.195175/1M to $1.897945/1M$0.26375/1M to $0.66465/1M
Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route
Fastest measured p50 TTFT980 ms via lyceum1535 ms via lyceum
Highest measured throughput172 tok/s via sail-researchnot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K3 routes

Qwen: Qwen3.8 2.4T A95B 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 Qwen: Qwen3.8 2.4T A95B?

MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3.8 2.4T A95B has the lower published input-plus-output rate.

Is MoonshotAI: Kimi K3 or Qwen: Qwen3.8 2.4T A95B cheaper?

The current cheapest TrustedRouter route is $11.97425/1M for MoonshotAI: Kimi K3 and $5.275/1M for Qwen: Qwen3.8 2.4T A95B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or Qwen: Qwen3.8 2.4T A95B faster?

Current measured p50 time to first token is 980 ms for MoonshotAI: Kimi K3 and 1535 ms for Qwen: Qwen3.8 2.4T A95B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and Qwen: Qwen3.8 2.4T A95B 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/qwen3.8-2.4t-a95b. This makes side-by-side evals possible without maintaining two provider integrations.

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