Meta: Llama 3.3 70B Instruct vs NVIDIA: Nemotron 3.5 Super VL
Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and Nemotron 3.5 Super VL. Switch by changing the model name.
Practical read
Monthly evidenceMeta: Llama 3.3 70B Instruct has more Credits provider routes and the lower measured p50 time to first token. NVIDIA: Nemotron 3.5 Super VL has the lower published input-plus-output rate and the larger context window.
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/llama-3.3-70b-instructnvidia/nemotron-3.5-super-vl
Meta: Llama 3.3 70B Instruct routes
- Overview10 Credits routes
- PricingInput, cached input, and output rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
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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.
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 Super VL?
Meta: Llama 3.3 70B Instruct has more Credits provider routes and the lower measured p50 time to first token. NVIDIA: Nemotron 3.5 Super VL has the lower published input-plus-output rate and the larger context window.
Is Meta: Llama 3.3 70B Instruct or NVIDIA: Nemotron 3.5 Super VL cheaper?
The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL. The comparison uses current catalog prices and updates as provider pricing changes.
Is Meta: Llama 3.3 70B Instruct or NVIDIA: Nemotron 3.5 Super VL faster?
Current measured p50 time to first token is 824 ms for Meta: Llama 3.3 70B Instruct and 1400 ms for NVIDIA: Nemotron 3.5 Super VL. 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 Super VL 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-super-vl. This makes side-by-side evals possible without maintaining two provider integrations.