OpenAI compatible API · Attested · Public status

Ling-3.0-flash vs Qwen: Qwen3.5 397B A17B

Ling-3.0-flash vs Qwen: Qwen3.5 397B A17B: 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: Qwen3.5 397B A17B 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

$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route

not enough dataLing-3.0-flash fastest measured p50 TTFT

1813 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via digitalocean

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: Qwen3.5 397B A17B

Model idinclusionai/ling-3.0-flashqwen/qwen3.5-397b-a17b

Publisher DeepInfra DeepInfra

AI IQ IQ 92#103 —

Context262,144 tokens262,144 tokens

Provider routes416

Cheapest route$0.2532/1M$3.63975/1M

Privacy postureprovider posture varieshas provider E2EE route

Fastest measured p50 TTFTnot enough data1813 ms via digitalocean

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%66.67% to 100.00%

Modes chat chat

Ling-3.0-flash routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Qwen: Qwen3.5 397B A17B routes

Overview16 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Qwen: Qwen3.5 397B A17B vs Z.ai: GLM 5.268 combined provider routes
Ling-3.0-flash vs Z.ai: GLM 5.256 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.5 397B A17B53 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.5 397B A17B50 combined provider routes
MoonshotAI: Kimi K2.6 vs Qwen: Qwen3.5 397B A17B47 combined provider routes
OpenAI: gpt-oss-120b vs Qwen: Qwen3.5 397B A17B47 combined provider routes
DeepSeek: DeepSeek V4 Flash 0423 vs Qwen: Qwen3.5 397B A17B45 combined provider routes
DeepSeek: DeepSeek V4 Pro 0423 vs Qwen: Qwen3.5 397B A17B44 combined provider routes

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: Qwen3.5 397B A17B?

Is Ling-3.0-flash or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for Ling-3.0-flash and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Ling-3.0-flash or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is not enough data for Ling-3.0-flash and 1813 ms for Qwen: Qwen3.5 397B A17B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Ling-3.0-flash and Qwen: Qwen3.5 397B A17B 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/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.