OpenAI compatible API · Attested · Public status

Ling-3.0-flash vs Qwen: Qwen3.6 35B A3B

Ling-3.0-flash vs Qwen: Qwen3.6 35B A3B: 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

Ling-3.0-flash has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.6 35B A3B has more provider fallback routes, while Ling-3.0-flash has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.2532/1MLing-3.0-flash cheapest route

$0.363975/1MQwen: Qwen3.6 35B A3B cheapest route

not enough dataLing-3.0-flash fastest measured p50 TTFT

1171 msQwen: Qwen3.6 35B A3B fastest measured p50 TTFT via akashml

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.

Ling-3.0-flashQwen: Qwen3.6 35B A3B

Model idinclusionai/ling-3.0-flashqwen/qwen3.6-35b-a3b

Publisher DeepInfra DeepInfra

AI IQ IQ 92#103 IQ 100#80

Context262,144 tokens262,144 tokens

Provider routes414

Cheapest route$0.2532/1M$0.363975/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1171 ms via akashml

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data100.00%

Modes chat chat

Ling-3.0-flash routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Qwen: Qwen3.6 35B A3B routes

Overview14 endpoints
PricingPrompt and completion 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="inclusionai/ling-3.0-flash",
    messages=messages,
)

Questions

Which should I use, Ling-3.0-flash or Qwen: Qwen3.6 35B A3B?

Is Ling-3.0-flash or Qwen: Qwen3.6 35B A3B cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for Ling-3.0-flash and $0.363975/1M for Qwen: Qwen3.6 35B A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Ling-3.0-flash or Qwen: Qwen3.6 35B A3B faster?

Current measured p50 time to first token is not enough data for Ling-3.0-flash and 1171 ms for Qwen: Qwen3.6 35B A3B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Ling-3.0-flash and Qwen: Qwen3.6 35B A3B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between inclusionai/ling-3.0-flash and qwen/qwen3.6-35b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.