OpenAI compatible API · Attested · Public status

Ternary Bonsai 27B vs Qwen: Qwen3.8 27B

Ternary Bonsai 27B vs Qwen: Qwen3.8 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

Ternary Bonsai 27B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.8 27B has more provider fallback routes, while Ternary Bonsai 27B has the larger context window. Current TrustedRouter probes show Qwen: Qwen3.8 27B with the lower p50 TTFT.

$0.02/1MTernary Bonsai 27B cheapest route

$0.385075/1MQwen: Qwen3.8 27B cheapest route

1475 msTernary Bonsai 27B fastest measured p50 TTFT via together

753 msQwen: Qwen3.8 27B fastest measured p50 TTFT via cerebras

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.

Ternary Bonsai 27BQwen: Qwen3.8 27B

Model idprism-ml/ternary-bonsai-27bqwen/qwen3.8-27b

Publisher Together DeepInfra

AI IQ — IQ 110#60

Context262,144 tokens262,144 tokens

Credits provider routes113

Cheapest route$0.02/1M$0.385075/1M

Cached inputNot published$0.015825/1M to $0.16247/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT1475 ms via together753 ms via cerebras

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Ternary Bonsai 27B routes

Overview1 Credits routes

Qwen: Qwen3.8 27B routes

Overview13 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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="prism-ml/ternary-bonsai-27b",
    messages=messages,
)

Questions

Which should I use, Ternary Bonsai 27B or Qwen: Qwen3.8 27B?

Is Ternary Bonsai 27B or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $0.02/1M for Ternary Bonsai 27B and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Ternary Bonsai 27B or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is 1475 ms for Ternary Bonsai 27B and 753 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Ternary Bonsai 27B and Qwen: Qwen3.8 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between prism-ml/ternary-bonsai-27b and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.