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Anthropic: Claude Opus 5.5 vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Claude Opus 5.5 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

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

$25.32/1MAnthropic: Claude Opus 5.5 cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

2639 msAnthropic: Claude Opus 5.5 fastest measured p50 TTFT via anthropic

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.

Anthropic: Claude Opus 5.5MoonshotAI: Kimi K3

Model idanthropic/claude-opus-5.5moonshotai/kimi-k3

Publisher Anthropic Kimi

AI IQ IQ 141#2 IQ 127#21

Context1,000,000 tokens1,048,576 tokens

Credits provider routes128

Cheapest route$25.32/1M$11.97425/1M

Cached input$0.211/1M$0.195175/1M to $1.897945/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT2639 ms via anthropic980 ms via lyceum

Highest measured throughputnot enough data172 tok/s via sail-research

Recent route uptime range100.00%84.62% to 100.00%

Modes chat messages chat

Anthropic: Claude Opus 5.5 routes

Overview1 Credits routes

MoonshotAI: Kimi K3 routes

Overview28 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="anthropic/claude-opus-5.5",
    messages=messages,
)

Questions

Which should I use, Anthropic: Claude Opus 5.5 or MoonshotAI: Kimi K3?

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

Is Anthropic: Claude Opus 5.5 or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $25.32/1M for Anthropic: Claude Opus 5.5 and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Anthropic: Claude Opus 5.5 or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is 2639 ms for Anthropic: Claude Opus 5.5 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 Anthropic: Claude Opus 5.5 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 anthropic/claude-opus-5.5 and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.