DeepSeek V4 Pro Base vs Gemma 4 12B

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and Gemma 4 12B, 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.

DeepSeek V4 Pro Base has the larger sourced context window. DeepSeek V4 Pro Base supports 1,049K and Gemma 4 12B supports 262K.

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 recorded self-hosting status: supported. DeepSeek V4 Pro Base is open weight; Gemma 4 12B is open weight.

DeepSeek V4 Pro Base is not documented with image input; Gemma 4 12B is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. DeepSeek V4 Pro Base is — and Gemma 4 12B is —.

DeepSeek V4 Pro Base: none of these features are definitively sourced. Gemma 4 12B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

DeepSeek V4 Pro Base has 0 sourced provider routes; Gemma 4 12B has 1, so Gemma 4 12B has broader tracked availability.

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.