Llama Guard 2 8B vs Nemotron-Nano-9B-v2
Llama Guard 2 8B (2024) and Nemotron-Nano-9B-v2 (2025) are compact production models from AI at Meta and NVIDIA AI. Llama Guard 2 8B ships a 8K-token context window, while Nemotron-Nano-9B-v2 ships a not-yet-sourced context window. On pricing, Nemotron-Nano-9B-v2 costs $0.04/1M input tokens versus $0.05/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Nemotron-Nano-9B-v2 is safer overall; choose Llama Guard 2 8B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama Guard 2 8B | Nemotron-Nano-9B-v2 |
|---|---|---|
| Decision fit | Classification | Classification and JSON / Tool use |
| Context window | 8K | — |
| Cheapest output | $0.25/1M tokens | $0.16/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama Guard 2 8B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama Guard 2 8B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama Guard 2 8B for Classification.
- Nemotron-Nano-9B-v2 has the lower cheapest tracked output price at $0.16/1M tokens.
- Nemotron-Nano-9B-v2 uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron-Nano-9B-v2 for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama Guard 2 8B
$103
Cheapest tracked route: Replicate API
Nemotron-Nano-9B-v2
$72.00
Cheapest tracked route: OpenRouter
Estimated monthly gap: $30.50. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Llama Guard 2 8B and Nemotron-Nano-9B-v2; plan for SDK, billing, or endpoint changes.
- Nemotron-Nano-9B-v2 is $0.09/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Nemotron-Nano-9B-v2 adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Nemotron-Nano-9B-v2 and Llama Guard 2 8B; plan for SDK, billing, or endpoint changes.
- Llama Guard 2 8B is $0.09/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-18 | 2025-08-18 |
| Context window | 8K | — |
| Parameters | 8B | 9B |
| Architecture | decoder only | decoder only |
| License | Open Source | Unknown |
| Knowledge cutoff | 2023-03 | 2025-03 |
Pricing and availability
| Pricing attribute | Llama Guard 2 8B | Nemotron-Nano-9B-v2 |
|---|---|---|
| Input price | $0.05/1M tokens | $0.04/1M tokens |
| Output price | $0.25/1M tokens | $0.16/1M tokens |
| Providers |
Capabilities
| Capability | Llama Guard 2 8B | Nemotron-Nano-9B-v2 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Nemotron-Nano-9B-v2. 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.
For cost, Llama Guard 2 8B lists $0.05/1M input and $0.25/1M output tokens, while Nemotron-Nano-9B-v2 lists $0.04/1M input and $0.16/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron-Nano-9B-v2 lower by about $0.03 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.
Choose Llama Guard 2 8B when provider fit and broader provider choice are central to the workload. Choose Nemotron-Nano-9B-v2 when provider fit and lower input-token cost 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which is cheaper, Llama Guard 2 8B or Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is cheaper on tracked token pricing. Llama Guard 2 8B costs $0.05/1M input and $0.25/1M output tokens. Nemotron-Nano-9B-v2 costs $0.04/1M input and $0.16/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama Guard 2 8B or Nemotron-Nano-9B-v2 open source?
Llama Guard 2 8B is listed under Open Source. Nemotron-Nano-9B-v2 is listed under Unknown. 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 structured outputs, Llama Guard 2 8B or Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 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 2 8B and Nemotron-Nano-9B-v2?
Llama Guard 2 8B is available on Fireworks AI, OctoAI API (Deprecated), and Replicate API. Nemotron-Nano-9B-v2 is available on NVIDIA NIM and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama Guard 2 8B over Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is safer overall; choose Llama Guard 2 8B when provider fit matters. If your workload also depends on provider fit, start with Llama Guard 2 8B; if it depends on provider fit, run the same evaluation with Nemotron-Nano-9B-v2.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.