DeepSeek V4 Pro Base vs Gemini Computer Use

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and Gemini Computer Use, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only Gemini Computer Use has a directly sourced input price: $1.25 per million tokens. Only Gemini Computer Use has a directly sourced output price: $10.00 per million tokens.

DeepSeek V4 Pro Base has the larger sourced context window. DeepSeek V4 Pro Base supports 1,049K and Gemini Computer Use supports 128K.

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

DeepSeek V4 Pro Base is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro Base is open weight; Gemini Computer Use is not marked open weight.

DeepSeek V4 Pro Base is not documented with image input; Gemini Computer Use 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 Gemini Computer Use is 64K.

DeepSeek V4 Pro Base: none of these features are definitively sourced. Gemini Computer Use: reasoning, tool calling, and image input. Feature support does not establish relative quality.

DeepSeek V4 Pro Base has 0 sourced provider routes; Gemini Computer Use has 2, so Gemini Computer Use 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.