Llama Guard 4 12B vs Nemotron 3 Nano Omni
Llama Guard 4 12B (2025) and Nemotron 3 Nano Omni (2026) are general-purpose language models from AI at Meta and NVIDIA AI. Llama Guard 4 12B ships a 164k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. 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 Llama Guard 4 12B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama Guard 4 12B | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | provider-routed production | multimodal apps |
| Decision fit | RAG, Long context, and Classification | Long context, Vision, and Classification |
| Context window | 164k | 262k |
| Cheapest output | $0.18/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama Guard 4 12B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama Guard 4 12B uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama Guard 4 12B for RAG, Long context, and Classification.
- 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.
Llama Guard 4 12B
$189
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 Structured outputs 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.
- Llama Guard 4 12B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2026-04-28 |
| Context window | 164k | 262k |
| Parameters | 12B | 30B |
| Architecture | decoder only | Hybrid Mamba-Transformer MoE |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2024-08 | - |
Pricing and availability
| Pricing attribute | Llama Guard 4 12B | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.18/1M tokens | - |
| Output price | $0.18/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama Guard 4 12B | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Nemotron 3 Nano Omni and structured outputs: Llama Guard 4 12B. 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: Llama Guard 4 12B has $0.18/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 3 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama Guard 4 12B when provider fit 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Llama Guard 4 12B or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while Llama Guard 4 12B supports 164k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama Guard 4 12B or Nemotron 3 Nano Omni open source?
Llama Guard 4 12B is listed under Proprietary. Nemotron 3 Nano Omni is listed under Open Source. 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, Llama Guard 4 12B 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 structured outputs, Llama Guard 4 12B or Nemotron 3 Nano Omni?
Llama Guard 4 12B 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 Llama Guard 4 12B and Nemotron 3 Nano Omni?
Llama Guard 4 12B is available on NVIDIA NIM, Replicate API, and OpenRouter. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama Guard 4 12B over Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni is safer overall; choose Llama Guard 4 12B when provider fit matters. If your workload also depends on provider fit, start with Llama Guard 4 12B; if it depends on long-context analysis, run the same evaluation with Nemotron 3 Nano Omni.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.