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Llama 3.3 70B Instruct vs NVIDIA Nemotron 3 Super 120B

meta-llama/llama-3.3-70b-instruct · nvidia/nemotron-3-super-120b

As of November 4, 2026, NVIDIA Nemotron 3 Super 120B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0062 per million output, versus $0.0145 / $0.0465 for Llama 3.3 70B Instruct, about 87% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose NVIDIA Nemotron 3 Super 120B to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.

Llama 3.3 70B Instruct vs NVIDIA Nemotron 3 Super 120B, side by side

SpecLlama 3.3 70B InstructNVIDIA Nemotron 3 Super 120B
Price · input / 1M$0.0145$0.0008
Price · output / 1M$0.0465$0.0062
Context length128,000256,000
Max output tokens4,09632,000
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
% off list92.7% off99.7% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Llama 3.3 70B Instruct vs NVIDIA Nemotron 3 Super 120B — FAQ

Is Llama 3.3 70B Instruct or NVIDIA Nemotron 3 Super 120B cheaper?

NVIDIA Nemotron 3 Super 120B is cheaper on a blended token mix, by about 87%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Llama 3.3 70B Instruct and NVIDIA Nemotron 3 Super 120B?

Llama 3.3 70B Instruct: $0.0145 in / $0.0465 out per 1M tokens. NVIDIA Nemotron 3 Super 120B: $0.0008 in / $0.0062 out per 1M tokens. That's roughly a 87% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and NVIDIA Nemotron 3 Super 120B with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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