DeepSeek R1 0528 vs Nemotron 3 Nano Omni
DeepSeek R1 0528 (2025) and Nemotron 3 Nano Omni (2026) are frontier reasoning models from DeepSeek and NVIDIA AI. DeepSeek R1 0528 ships a 130k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, DeepSeek R1 0528 leads by 13.2 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 R1 0528 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 0528 | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Long context, Vision, and Classification |
| Context window | 130k | 262k |
| Cheapest output | $2.15/1M tokens | - |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | MMLU PRO leader | 1 rows |
Decision tradeoffs
- DeepSeek R1 0528 leads the largest shared benchmark signal on MMLU PRO by 13.2 points.
- DeepSeek R1 0528 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek R1 0528 uniquely exposes Reasoning, Structured outputs, and Code execution in local model data.
- Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
- Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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 R1 0528
$938
Cheapest tracked route/tier: OpenRouter
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, Structured outputs, and Code execution 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 R1 0528 adds Reasoning, Structured outputs, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-28 | 2026-04-28 |
| Context window | 130k | 262k |
| Parameters | 685B total, 37B active (MoE) | 30B |
| Architecture | decoder only | Hybrid Mamba-Transformer MoE |
| License | MIT | OpenMDW 1.1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek R1 0528 | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.50/1M tokens | - |
| Output price | $2.15/1M tokens | - |
| Providers |
Capabilities
| Capability | DeepSeek R1 0528 | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 0528 | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 85.0 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek R1 0528 at 85 and Nemotron 3 Nano Omni at 71.8, with DeepSeek R1 0528 ahead by 13.2 points. The largest visible gap is 13.2 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 R1 0528, structured outputs: DeepSeek R1 0528, and code execution: DeepSeek R1 0528. 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 R1 0528 has $0.50/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 6 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 R1 0528 when coding workflow support and broader provider choice are central to the workload. Choose Nemotron 3 Nano Omni when long-context analysis and larger context windows 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 R1 0528 or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while DeepSeek R1 0528 supports 130k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek R1 0528 or Nemotron 3 Nano Omni open source?
DeepSeek R1 0528 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 R1 0528 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 R1 0528 or Nemotron 3 Nano Omni?
DeepSeek R1 0528 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 structured outputs, DeepSeek R1 0528 or Nemotron 3 Nano Omni?
DeepSeek R1 0528 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek R1 0528 and Nemotron 3 Nano Omni?
DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.