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MoonshotAI: Kimi K2.7 Code vs Ternary Bonsai 27B

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.7 Code and Ternary Bonsai 27B. 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. Ternary Bonsai 27B has the lower published input-plus-output rate and the lower measured p50 time to first token. Their context windows are the same size.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route

$0.02/1MTernary Bonsai 27B cheapest route

1678 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb

851 msTernary Bonsai 27B fastest measured p50 TTFT via together

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 CodeTernary Bonsai 27B

Model idmoonshotai/kimi-k2.7-codeprism-ml/ternary-bonsai-27b

Publisher Kimi prism-ml

AI IQ IQ 111#77 —

Context262,144 tokens262,144 tokens

Credits provider routes141

Cheapest route$4.173791/1M$0.02/1M

Cached input$0.15825/1M to $0.546617/1MNot published

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT1678 ms via wandb851 ms via together

Highest measured throughput167 tok/s via lyceumnot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Overview14 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Ternary Bonsai 27B routes

Overview1 Credits routes

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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-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or Ternary Bonsai 27B?

Is MoonshotAI: Kimi K2.7 Code or Ternary Bonsai 27B cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $0.02/1M for Ternary Bonsai 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Ternary Bonsai 27B faster?

Current measured p50 time to first token is 1678 ms for MoonshotAI: Kimi K2.7 Code and 851 ms for Ternary Bonsai 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and Ternary Bonsai 27B 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-k2.7-code and prism-ml/ternary-bonsai-27b. This makes side-by-side evals possible without maintaining two provider integrations.