DeepSeek V4 Pro Base vs Kimi K3

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only Kimi K3 has a directly sourced input price: $0.239 per million tokens. Only Kimi K3 has a directly sourced output price: $11.936 per million tokens.

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; Kimi K3 is open weight.

DeepSeek V4 Pro Base is not documented with image input; Kimi K3 is 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. Kimi K3: reasoning and image input. Feature support does not establish relative quality.

DeepSeek V4 Pro Base has 0 sourced provider routes; Kimi K3 has 5, so Kimi K3 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.