OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0731 vs Ternary Bonsai 27B

DeepSeek V4 Flash 0731 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

DeepSeek V4 Flash 0731 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Ternary Bonsai 27B has the lower published input-plus-output rate.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route
$0.02/1MTernary Bonsai 27B cheapest route
956 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via sail-research
3297 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.

DeepSeek: DeepSeek V4 Flash 0731Ternary Bonsai 27B
Model iddeepseek/deepseek-v4-flash-0731prism-ml/ternary-bonsai-27b
AI IQ
Context1,048,576 tokens262,144 tokens
Credits provider routes251
Cheapest route$0.142425/1M$0.02/1M
Cached input$0.01/1M to $0.101559/1MNot published
Privacy posturehas confidential-compute routehas ZDR route
Fastest measured p50 TTFT956 ms via sail-research3297 ms via together
Highest measured throughput102 tok/s via venicenot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 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="deepseek/deepseek-v4-flash-0731",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Flash 0731 or Ternary Bonsai 27B?

DeepSeek V4 Flash 0731 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Ternary Bonsai 27B has the lower published input-plus-output rate.

Is DeepSeek: DeepSeek V4 Flash 0731 or Ternary Bonsai 27B cheaper?

The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 and $0.02/1M for Ternary Bonsai 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Flash 0731 or Ternary Bonsai 27B faster?

Current measured p50 time to first token is 956 ms for DeepSeek: DeepSeek V4 Flash 0731 and 3297 ms for Ternary Bonsai 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Flash 0731 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 deepseek/deepseek-v4-flash-0731 and prism-ml/ternary-bonsai-27b. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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