OpenAI compatible API · Attested · Public status

DeepSeek V3.1 vs Thinking Machines: Inkling

DeepSeek V3.1 vs Thinking Machines: Inkling: 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 V3.1 has the lower published input-plus-output rate and more Credits provider routes. Thinking Machines: Inkling has the larger context window and the lower measured p50 time to first token.

$1.266/1MDeepSeek V3.1 cheapest route
$5.275/1MThinking Machines: Inkling cheapest route
3063 msDeepSeek V3.1 fastest measured p50 TTFT via sambanova
1914 msThinking Machines: Inkling fastest measured p50 TTFT via thinkingmachines

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 V3.1Thinking Machines: Inkling
Model iddeepseek/deepseek-v3.1thinkingmachines/inkling
Context131,072 tokens524,288 tokens
Credits provider routes54
Cheapest route$1.266/1M$5.275/1M
Cached input$0.13715/1M to $0.142425/1M$0.1688/1M to $0.17935/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT3063 ms via sambanova1914 ms via thinkingmachines
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

DeepSeek V3.1 routes

Thinking Machines: Inkling 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-v3.1",
    messages=messages,
)

Questions

Which should I use, DeepSeek V3.1 or Thinking Machines: Inkling?

DeepSeek V3.1 has the lower published input-plus-output rate and more Credits provider routes. Thinking Machines: Inkling has the larger context window and the lower measured p50 time to first token.

Is DeepSeek V3.1 or Thinking Machines: Inkling cheaper?

The current cheapest TrustedRouter route is $1.266/1M for DeepSeek V3.1 and $5.275/1M for Thinking Machines: Inkling. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek V3.1 or Thinking Machines: Inkling faster?

Current measured p50 time to first token is 3063 ms for DeepSeek V3.1 and 1914 ms for Thinking Machines: Inkling. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek V3.1 and Thinking Machines: Inkling 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-v3.1 and thinkingmachines/inkling. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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