Find a model

Browse the full catalog →

Free to start

Meta: Llama 3.3 70B Instruct vs NVIDIA: Nemotron 3.5 Lightning

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and Nemotron 3.5 Lightning. Switch by changing the model name.

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 more Credits provider routes. NVIDIA: Nemotron 3.5 Lightning has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
$0.223309/1MNVIDIA: Nemotron 3.5 Lightning cheapest route
1186 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via scaleway
841 msNVIDIA: Nemotron 3.5 Lightning fastest measured p50 TTFT via io-net

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.

Meta: Llama 3.3 70B InstructNVIDIA: Nemotron 3.5 Lightning
Model idmeta-llama/llama-3.3-70b-instructnvidia/nemotron-3.5-lightning
Publisher Meta NVIDIA
AI IQ — —
Context131,072 tokens262,144 tokens
Credits provider routes103
Cheapest route$0.564425/1M$0.223309/1M
Cached input$0.1055/1M to $0.633/1M$0.01055/1M to $0.03165/1M
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT1186 ms via scaleway841 ms via io-net
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat decide chat

Meta: Llama 3.3 70B Instruct routes

NVIDIA: Nemotron 3.5 Lightning routes

Related comparisons

Browse every comparison
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 NVIDIA: Nemotron 3.5 Lightning?

Meta: Llama 3.3 70B Instruct has more Credits provider routes. NVIDIA: Nemotron 3.5 Lightning has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token.

Is Meta: Llama 3.3 70B Instruct or NVIDIA: Nemotron 3.5 Lightning cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $0.223309/1M for NVIDIA: Nemotron 3.5 Lightning. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or NVIDIA: Nemotron 3.5 Lightning faster?

Current measured p50 time to first token is 1186 ms for Meta: Llama 3.3 70B Instruct and 841 ms for NVIDIA: Nemotron 3.5 Lightning. 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 NVIDIA: Nemotron 3.5 Lightning 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 nvidia/nemotron-3.5-lightning. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

Sign in

Choose a sign in method to access your TrustedRouter workspace.

New to TrustedRouter?

By continuing you agree to the terms of service and privacy policy.