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MoonshotAI: Kimi K2.6 vs @cf/qwen/qwq-32b

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.6 and @cf/qwen/qwq-32b. 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 K2.6 has more Credits provider routes and the larger context window. @cf/qwen/qwq-32b has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$2.532/1MMoonshotAI: Kimi K2.6 cheapest route

$1.7513/1M@cf/qwen/qwq-32b cheapest route

1147 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via azure

not enough data@cf/qwen/qwq-32b fastest measured p50 TTFT

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 K2.6@cf/qwen/qwq-32b

Model idmoonshotai/kimi-k2.6qwen/qwq-32b

Publisher Kimi Alibaba Cloud Model Studio

AI IQ IQ 114#59 —

Context262,144 tokens24,000 tokens

Credits provider routes171

Cheapest route$2.532/1M$1.7513/1M

Cached input$0.047475/1M to $0.422/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT1147 ms via azurenot enough data

Highest measured throughput114 tok/s via azurenot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2.6 routes

Overview17 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

@cf/qwen/qwq-32b routes

Overview1 Credits 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-k2.6",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.6 or @cf/qwen/qwq-32b?

Is MoonshotAI: Kimi K2.6 or @cf/qwen/qwq-32b cheaper?

The current cheapest TrustedRouter route is $2.532/1M for MoonshotAI: Kimi K2.6 and $1.7513/1M for @cf/qwen/qwq-32b. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.6 or @cf/qwen/qwq-32b faster?

Current measured p50 time to first token is 1147 ms for MoonshotAI: Kimi K2.6 and not enough data for @cf/qwen/qwq-32b. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.6 and @cf/qwen/qwq-32b 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-k2.6 and qwen/qwq-32b. This makes side-by-side evals possible without maintaining two provider integrations.