DeepSeek V3 vs Interfaze Beta

Pick Interfaze Beta if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Interfaze Beta is clearly ahead on the provisional aggregate, 76 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 70. The single biggest benchmark swing on the page is GPQA, 59.1% to 89.9%.

Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. That is roughly 3.2x on output cost alone. Interfaze Beta is the reasoning model in the pair, while DeepSeek V3 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. Interfaze Beta gives you the larger context window at 1M, compared with 128K for DeepSeek V3.