OpenAI compatible API · Attested · Public status

Meta: Llama 3.3 70B Instruct vs Thinking Machines: Inkling

Meta: Llama 3.3 70B Instruct 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

Meta: Llama 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Thinking Machines: Inkling has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

$5.275/1MThinking Machines: Inkling cheapest route

1096 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via tinfoil

1410 msThinking Machines: Inkling fastest measured p50 TTFT via together

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.

Meta: Llama 3.3 70B InstructThinking Machines: Inkling

Model idmeta-llama/llama-3.3-70b-instructthinkingmachines/inkling

Publisher Cerebras DeepInfra

AI IQ — IQ 108#63

Context131,072 tokens524,288 tokens

Credits provider routes114

Cheapest route$0.564425/1M$5.275/1M

Cached input$0.1055/1M to $0.633/1M$0.1688/1M to $0.17935/1M

Privacy posturehas provider E2EE routehas ZDR route

Fastest measured p50 TTFT1096 ms via tinfoil1410 ms via together

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Meta: Llama 3.3 70B Instruct routes

Overview11 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Thinking Machines: Inkling routes

Overview4 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="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or Thinking Machines: Inkling?

Is Meta: Llama 3.3 70B Instruct or Thinking Machines: Inkling cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $5.275/1M for Thinking Machines: Inkling. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or Thinking Machines: Inkling faster?

Current measured p50 time to first token is 1096 ms for Meta: Llama 3.3 70B Instruct and 1410 ms for Thinking Machines: Inkling. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.3 70B Instruct 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 meta-llama/llama-3.3-70b-instruct and thinkingmachines/inkling. This makes side-by-side evals possible without maintaining two provider integrations.