NVIDIA's open 30B MoE built for high-throughput agentic workloads.
Efficiency-optimized DeepSeek V4 at 284B total / 13B active for fast, high-throughput inference.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Nemotron 3.5 Lightning and DeepSeek V4 Flash are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Nemotron 3.5 Lightning has a lower blended cost. Nemotron 3.5 Lightning: $0.08 input / $0.20 output. DeepSeek V4 Flash: $0.09 input / $0.19 output.
DeepSeek V4 Flash has a larger context window: Nemotron 3.5 Lightning supports 262K tokens vs DeepSeek V4 Flash at 1M tokens.
Nemotron 3.5 Lightning and DeepSeek V4 Flash have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Nemotron 3.5 Lightning and DeepSeek V4 Flash for free on idapt.app to see which performs better for your specific needs.