Free to start

ByteDance: UI-TARS 7B vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes UI-TARS 7B 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

ByteDance: UI-TARS 7B has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.3165/1MByteDance: UI-TARS 7B cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

1163 msByteDance: UI-TARS 7B fastest measured p50 TTFT via parasail

1008 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via sail-research

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.

ByteDance: UI-TARS 7B MoonshotAI: Kimi K3

Model idbytedance/ui-tars-1.5-7bmoonshotai/kimi-k3

Publisher BytePlus ModelArk Kimi

AI IQ — IQ 126#23

Context128,000 tokens1,048,576 tokens

Credits provider routes128

Cheapest route$0.3165/1M$11.97425/1M

Cached input$0.1055/1M$0.195175/1M to $1.897945/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT1163 ms via parasail1008 ms via sail-research

Highest measured throughputnot enough data194 tok/s via telnyx

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat

ByteDance: UI-TARS 7B routes

Overview1 Credits routes

MoonshotAI: Kimi K3 routes

Overview28 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

MoonshotAI: Kimi K3 vs Z.ai: GLM 5.361 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 5.260 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 5.3 Flash60 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MoonshotAI: Kimi K354 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs MoonshotAI: Kimi K352 combined provider routes
MoonshotAI: Kimi K3 vs OpenAI: gpt-oss-120b52 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.8 27B48 combined provider routes
MoonshotAI: Kimi K2.6 vs MoonshotAI: Kimi K345 combined provider routes

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="bytedance/ui-tars-1.5-7b",
    messages=messages,
)

Questions

Which should I use, ByteDance: UI-TARS 7B or MoonshotAI: Kimi K3?

ByteDance: UI-TARS 7B has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is ByteDance: UI-TARS 7B or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.3165/1M for ByteDance: UI-TARS 7B and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is ByteDance: UI-TARS 7B or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is 1163 ms for ByteDance: UI-TARS 7B and 1008 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test ByteDance: UI-TARS 7B 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 bytedance/ui-tars-1.5-7b and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.