Claude Sonnet 4.6 vs DeepSeek V4 Pro (High)

Treat this as a split decision. Claude Sonnet 4.6 makes more sense if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model; DeepSeek V4 Pro (High) is the better fit if coding is the priority or you want the cheaper token bill.

Claude Sonnet 4.6 and DeepSeek V4 Pro (High) finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.

Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (High). That is roughly 4.3x on output cost alone. DeepSeek V4 Pro (High) is the reasoning model in the pair, while Claude Sonnet 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.