Find a model

Browse the full catalog →

Free to start

MoonshotAI: Kimi K3 vs Tencent: Hunyuan A13B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Kimi K3 and Hunyuan A13B Instruct. 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 and the larger context window. Tencent: Hunyuan A13B Instruct has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$11.97425/1MMoonshotAI: Kimi K3 cheapest route
$0.74905/1MTencent: Hunyuan A13B Instruct cheapest route
980 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via lyceum
not enough dataTencent: Hunyuan A13B Instruct 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 K3Tencent: Hunyuan A13B Instruct
Model idmoonshotai/kimi-k3tencent/hunyuan-a13b-instruct
AI IQ IQ 127#21 —
Context1,048,576 tokens131,072 tokens
Credits provider routes281
Cheapest route$11.97425/1M$0.74905/1M
Cached input$0.195175/1M to $1.897945/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT980 ms via lyceumnot enough data
Highest measured throughput172 tok/s via sail-researchnot enough data
Recent route uptime range84.62% to 100.00%not enough data
Modes chat chat

MoonshotAI: Kimi K3 routes

Tencent: Hunyuan A13B Instruct routes

Related comparisons

Browse every comparison
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 Tencent: Hunyuan A13B Instruct?

MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. Tencent: Hunyuan A13B Instruct has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K3 or Tencent: Hunyuan A13B Instruct cheaper?

The current cheapest TrustedRouter route is $11.97425/1M for MoonshotAI: Kimi K3 and $0.74905/1M for Tencent: Hunyuan A13B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or Tencent: Hunyuan A13B Instruct faster?

Current measured p50 time to first token is 980 ms for MoonshotAI: Kimi K3 and not enough data for Tencent: Hunyuan A13B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and Tencent: Hunyuan A13B Instruct 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 tencent/hunyuan-a13b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

Sign in

Choose a sign in method to access your TrustedRouter workspace.

New to TrustedRouter?

By continuing you agree to the terms of service and privacy policy.