API cost decision in 10 seconds
Nemotron 3 Nano Omni (free) vs 🔥DeepSeek V4 Flash
Pick Nemotron 3 Nano Omni (free) for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
Budget verdict
Pick Nemotron 3 Nano Omni (free) for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $0.2 for DeepSeek V4 Flash, saving $0.2 (100% lower).
DeepSeek V4 Flash has more context, but Nemotron 3 Nano Omni (free) saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Nano Omni (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3 Nano Omni (free) | DeepSeek V4 Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Nano Omni (free) | $0 | $0.6 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Nano Omni (free) | $0 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Nano Omni (free) | $0 | $1.1 |
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Nemotron 3 Nano Omni (free) has the lower input price, Nemotron 3 Nano Omni (free) has the lower output price, and DeepSeek V4 Flash offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Nano Omni (free) and $0.2 for DeepSeek V4 Flash.
Choose Nemotron 3 Nano Omni (free) when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek V4 Flash when you care most about larger context window.
| Feature | Nemotron 3 Nano Omni (free) (NVIDIA) | 🔥DeepSeek V4 Flash (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.1 |
| Completion Price per 1M tokens | $0 | $0.2 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.2 |
| Context Window | 256K | 1.05M |
| Release Date | 2026-04-28 | 2026-04-24 |
| Popularity | #1 |
NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Nano Omni (free) | On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $0.2 for DeepSeek V4 Flash, saving $0.2 (100% lower). |
| High-volume input processing | Nemotron 3 Nano Omni (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Nemotron 3 Nano Omni (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash | A larger context window leaves more room for retrieved passages and source files. |