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MoonshotAI: Kimi K2.5 vs Qwen: Qwen3 14B

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.5 and Qwen3 14B. 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 K2.5 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3 14B has the lower published input-plus-output rate.

$2.79575/1MMoonshotAI: Kimi K2.5 cheapest route

$0.28485/1MQwen: Qwen3 14B cheapest route

878 msMoonshotAI: Kimi K2.5 fastest measured p50 TTFT via nscale

1329 msQwen: Qwen3 14B fastest measured p50 TTFT via greenference

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 K2.5Qwen: Qwen3 14B

Model idmoonshotai/kimi-k2.5qwen/qwen3-14b

Publisher Kimi Alibaba Cloud Model Studio

AI IQ IQ 110#77 —

Context262,144 tokens40,960 tokens

Credits provider routes105

Cheapest route$2.79575/1M$0.28485/1M

Cached input$0.07385/1M to $0.422/1M$0.04009/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT878 ms via nscale1329 ms via greenference

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2.5 routes

Overview10 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3 14B routes

Overview5 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="moonshotai/kimi-k2.5",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.5 or Qwen: Qwen3 14B?

MoonshotAI: Kimi K2.5 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3 14B has the lower published input-plus-output rate.

Is MoonshotAI: Kimi K2.5 or Qwen: Qwen3 14B cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for MoonshotAI: Kimi K2.5 and $0.28485/1M for Qwen: Qwen3 14B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.5 or Qwen: Qwen3 14B faster?

Current measured p50 time to first token is 878 ms for MoonshotAI: Kimi K2.5 and 1329 ms for Qwen: Qwen3 14B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.5 and Qwen: Qwen3 14B 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-k2.5 and qwen/qwen3-14b. This makes side-by-side evals possible without maintaining two provider integrations.