OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K3 vs Ternary Bonsai 27B

MoonshotAI: Kimi K3 vs Ternary Bonsai 27B: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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. Ternary Bonsai 27B has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$12.3435/1MMoonshotAI: Kimi K3 cheapest route
$0.02/1MTernary Bonsai 27B cheapest route
1143 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via fireworks
not enough dataTernary Bonsai 27B 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 K3Ternary Bonsai 27B
Model idmoonshotai/kimi-k3prism-ml/ternary-bonsai-27b
AI IQ IQ 128#14 —
Context1,048,576 tokens262,144 tokens
Credits provider routes241
Cheapest route$12.3435/1M$0.02/1M
Cached input$0.205725/1M to $1.74075/1MNot published
Privacy posturehas provider E2EE routehas ZDR route
Fastest measured p50 TTFT1143 ms via fireworksnot enough data
Highest measured throughput155 tok/s via venicenot enough data
Recent route uptime range0.00% to 100.00%not enough data
Modes chat chat

MoonshotAI: Kimi K3 routes

Ternary Bonsai 27B routes

Related comparisons

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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-k3",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K3 or Ternary Bonsai 27B?

MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. Ternary Bonsai 27B has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K3 or Ternary Bonsai 27B cheaper?

The current cheapest TrustedRouter route is $12.3435/1M for MoonshotAI: Kimi K3 and $0.02/1M for Ternary Bonsai 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or Ternary Bonsai 27B faster?

Current measured p50 time to first token is 1143 ms for MoonshotAI: Kimi K3 and not enough data for Ternary Bonsai 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 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-k3 and prism-ml/ternary-bonsai-27b. This makes side-by-side evals possible without maintaining two provider integrations.

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