Quick Take

Nex-N2-Pro (released June 2, 2026) and DeepSeek V4 Pro (released April 24, 2026) are competitive models in the current AI landscape. Nex-N2-Pro excels in raw output velocity, while DeepSeek V4 Pro demonstrates stronger reasoning and scientific benchmark results.

Benchmark Read

DeepSeek V4 Pro consistently edges out Nex-N2-Pro in core reasoning and scientific tasks. DeepSeek recorded a GPQA score of 0.905 compared to Nex-N2-Pro’s 0.892. Similarly, DeepSeek leads in HLE (0.335 vs 0.324), SciCode (0.464 vs 0.418), IFBench (0.713 vs 0.662), and TAU2 (0.942 vs 0.816). Nex-N2-Pro maintains a slight advantage in LCR (0.677 vs 0.650). Notably, Nex-N2-Pro holds a Coding index of 59.1, whereas DeepSeek’s coding and math indices remain unknown.

Cost and Speed

There is a distinct trade-off between performance and price. Nex-N2-Pro is the faster model, delivering 109.682 tokens per second with a time to first token of 1.096s. However, it is more expensive, with a blended cost of $1.00/1M tokens. DeepSeek V4 Pro is more economical, offering a blended cost of $0.54/1M tokens, though it operates at a slower output speed of 66.444 tokens per second with a slightly faster time to first token of 0.946s.

Best Fit

Nex-N2-Pro is best suited for developers and high-volume users who require rapid, low-latency responses for coding tasks. DeepSeek V4 Pro is the ideal candidate for research-heavy applications, complex reasoning tasks, and enterprise-scale operations where cost efficiency and high benchmark accuracy are the primary drivers.