DeepSeek V4 Pro vs Nemotron 3 Nano Omni
DeepSeek V4 Pro (2026) and Nemotron 3 Nano Omni (2026) are frontier reasoning models from DeepSeek and NVIDIA AI. DeepSeek V4 Pro ships a 1m-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 15.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron 3 Nano Omni is safer overall; choose DeepSeek V4 Pro when reasoning depth matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Long context, Vision, and Classification |
| Context window | 1m | 262k |
| Cheapest output | $0.87/1M tokens | - |
| Provider routes | 5 tracked | 1 tracked |
| Shared benchmarks | MMLU PRO leader | 1 rows |
Decision tradeoffs
- DeepSeek V4 Pro leads the largest shared benchmark signal on MMLU PRO by 15.7 points.
- DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V4 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V4 Pro uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- Nemotron 3 Nano Omni uniquely exposes Multimodal in local model data.
- Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
Nemotron 3 Nano Omni
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Nemotron 3 Nano Omni adds Multimodal in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Check replacement coverage for Multimodal before moving production traffic.
- DeepSeek V4 Pro adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2026-04-28 |
| Context window | 1m | 262k |
| Parameters | 1.6T | 30B |
| Architecture | Mixture of Experts (MoE) with CSA+HCA hybrid attention | Hybrid Mamba-Transformer MoE |
| License | MIT | OpenMDW 1.1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.43/1M tokens | - |
| Output price | $0.87/1M tokens | - |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 87.5 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V4 Pro at 87.5 and Nemotron 3 Nano Omni at 71.8, with DeepSeek V4 Pro ahead by 15.7 points. The largest visible gap is 15.7 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on multimodal input: Nemotron 3 Nano Omni, reasoning mode: DeepSeek V4 Pro, function calling: DeepSeek V4 Pro, tool use: DeepSeek V4 Pro, and structured outputs: DeepSeek V4 Pro. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: DeepSeek V4 Pro has $0.43/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 5 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V4 Pro when reasoning depth, larger context windows, and broader provider choice are central to the workload. Choose Nemotron 3 Nano Omni when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, DeepSeek V4 Pro or Nemotron 3 Nano Omni?
DeepSeek V4 Pro supports 1m tokens, while Nemotron 3 Nano Omni supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V4 Pro or Nemotron 3 Nano Omni open source?
DeepSeek V4 Pro is listed under MIT. Nemotron 3 Nano Omni is listed under OpenMDW 1.1. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for multimodal input, DeepSeek V4 Pro or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, DeepSeek V4 Pro or Nemotron 3 Nano Omni?
DeepSeek V4 Pro has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, DeepSeek V4 Pro or Nemotron 3 Nano Omni?
DeepSeek V4 Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V4 Pro and Nemotron 3 Nano Omni?
DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-31. Data sourced from public model cards and provider documentation.