DeepSeek V4 Pro Base vs NVIDIA Nemotron 3 Super 120B A12B Base BF16

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and NVIDIA Nemotron 3 Super 120B A12B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Both models have the same sourced context window: 1,048,576 tokens each.

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Both models have the same sourced self-hosting status: supported. DeepSeek V4 Pro Base is open weight; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is open weight.

DeepSeek V4 Pro Base is not documented with image input; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

DeepSeek V4 Pro Base: none of these features are definitively sourced. NVIDIA Nemotron 3 Super 120B A12B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.

DeepSeek V4 Pro Base has 0 sourced provider routes; NVIDIA Nemotron 3 Super 120B A12B Base BF16 has 0, a tie.

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.