Find a model

Browse the full catalog →

Free to start

MoonshotAI: Kimi K2.7 Code vs OpenAI Text Embedding Ada 002

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.7 Code and OpenAI Text Embedding Ada 002. 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 K2.7 Code has more Credits provider routes and the larger context window. OpenAI Text Embedding Ada 002 has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route
$0.1055/1MOpenAI Text Embedding Ada 002 cheapest route
1678 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb
not enough dataOpenAI Text Embedding Ada 002 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 K2.7 CodeOpenAI Text Embedding Ada 002
Model idmoonshotai/kimi-k2.7-codeopenai/text-embedding-ada-002
AI IQ IQ 111#77 —
Context262,144 tokens8,191 tokens
Credits provider routes141
Cheapest route$4.173791/1M$0.1055/1M
Cached input$0.15825/1M to $0.546617/1MNot published
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT1678 ms via wandbnot enough data
Highest measured throughput167 tok/s via lyceumnot enough data
Recent route uptime range100.00%not enough data
Modes chat embeddings

MoonshotAI: Kimi K2.7 Code routes

OpenAI Text Embedding Ada 002 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-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or OpenAI Text Embedding Ada 002?

MoonshotAI: Kimi K2.7 Code has more Credits provider routes and the larger context window. OpenAI Text Embedding Ada 002 has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K2.7 Code or OpenAI Text Embedding Ada 002 cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $0.1055/1M for OpenAI Text Embedding Ada 002. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or OpenAI Text Embedding Ada 002 faster?

Current measured p50 time to first token is 1678 ms for MoonshotAI: Kimi K2.7 Code and not enough data for OpenAI Text Embedding Ada 002. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and OpenAI Text Embedding Ada 002 with the same API?

Both use the same TrustedRouter base URL and API key. At least one of them is not a chat model, so the request can differ as well as the model id: the API docs list the route for each kind of model.

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.