OpenAI compatible API · Attested · Public status

nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen: Qwen3.5-122B-A10B

nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen: Qwen3.5-122B-A10B: 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

nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5-122B-A10B has more provider fallback routes, while nvidia/Nemotron-3.5-Lightning-30B-A3B has the larger context window. Current TrustedRouter probes show Qwen: Qwen3.5-122B-A10B with the lower p50 TTFT.

$0.26375/1Mnvidia/Nemotron-3.5-Lightning-30B-A3B cheapest route

$2.4687/1MQwen: Qwen3.5-122B-A10B cheapest route

2510 msnvidia/Nemotron-3.5-Lightning-30B-A3B fastest measured p50 TTFT via wandb

1884 msQwen: Qwen3.5-122B-A10B fastest measured p50 TTFT via alibaba

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.

nvidia/Nemotron-3.5-Lightning-30B-A3BQwen: Qwen3.5-122B-A10B

Model idnvidia/nemotron-3.5-lightning-30b-a3bqwen/qwen3.5-122b-a10b

Publisher Crusoe DeepInfra

AI IQ — —

Context262,144 tokens262,144 tokens

Credits provider routes37

Cheapest route$0.26375/1M$2.4687/1M

Cached input$0.03165/1M to $0.05275/1M$0.0422/1M to $0.3165/1M

Privacy postureprovider posture varieshas provider E2EE route

Fastest measured p50 TTFT2510 ms via wandb1884 ms via alibaba

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat

nvidia/Nemotron-3.5-Lightning-30B-A3B routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3.5-122B-A10B routes

Overview7 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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MoonshotAI: Kimi K3 vs Qwen: Qwen3.5-122B-A10B30 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.5-122B-A10B29 combined provider routes
Qwen: Qwen3.5-122B-A10B vs Z.ai: GLM 5.329 combined provider routes
Qwen: Qwen3.5-122B-A10B vs Z.ai: GLM 5.3 Flash27 combined provider routes
MoonshotAI: Kimi K2.6 vs Qwen: Qwen3.5-122B-A10B26 combined provider routes
MoonshotAI: Kimi K3 vs nvidia/Nemotron-3.5-Lightning-30B-A3B26 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="nvidia/nemotron-3.5-lightning-30b-a3b",
    messages=messages,
)

Questions

Which should I use, nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3.5-122B-A10B?

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3.5-122B-A10B cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for nvidia/Nemotron-3.5-Lightning-30B-A3B and $2.4687/1M for Qwen: Qwen3.5-122B-A10B. The comparison uses current catalog prices and updates as provider pricing changes.

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3.5-122B-A10B faster?

Current measured p50 time to first token is 2510 ms for nvidia/Nemotron-3.5-Lightning-30B-A3B and 1884 ms for Qwen: Qwen3.5-122B-A10B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test nvidia/Nemotron-3.5-Lightning-30B-A3B and Qwen: Qwen3.5-122B-A10B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between nvidia/nemotron-3.5-lightning-30b-a3b and qwen/qwen3.5-122b-a10b. This makes side-by-side evals possible without maintaining two provider integrations.