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MoonshotAI: Kimi K2 Thinking vs Qwen: Qwen3.5-122B-A10B

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2 Thinking and Qwen3.5-122B-A10B. 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

Qwen: Qwen3.5-122B-A10B has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$3.2705/1MMoonshotAI: Kimi K2 Thinking cheapest route

$2.4687/1MQwen: Qwen3.5-122B-A10B cheapest route

not enough dataMoonshotAI: Kimi K2 Thinking fastest measured p50 TTFT

1370 msQwen: Qwen3.5-122B-A10B fastest measured p50 TTFT via alibaba

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 ThinkingQwen: Qwen3.5-122B-A10B

Model idmoonshotai/kimi-k2-thinkingqwen/qwen3.5-122b-a10b

Publisher Kimi Alibaba Cloud Model Studio

AI IQ IQ 92#152 —

Context262,144 tokens262,144 tokens

Credits provider routes36

Cheapest route$3.2705/1M$2.4687/1M

Cached input$0.15825/1M to $0.3165/1M$0.0422/1M to $0.3165/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1370 ms via alibaba

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2 Thinking routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3.5-122B-A10B routes

Overview6 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-thinking",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2 Thinking or Qwen: Qwen3.5-122B-A10B?

Is MoonshotAI: Kimi K2 Thinking or Qwen: Qwen3.5-122B-A10B cheaper?

The current cheapest TrustedRouter route is $3.2705/1M for MoonshotAI: Kimi K2 Thinking and $2.4687/1M for Qwen: Qwen3.5-122B-A10B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2 Thinking or Qwen: Qwen3.5-122B-A10B faster?

Current measured p50 time to first token is not enough data for MoonshotAI: Kimi K2 Thinking and 1370 ms for Qwen: Qwen3.5-122B-A10B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2 Thinking and Qwen: Qwen3.5-122B-A10B 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-thinking and qwen/qwen3.5-122b-a10b. This makes side-by-side evals possible without maintaining two provider integrations.