Llama 3.1 NemoGuard 8B Content Safety vs Phi-4 Mini Reasoning
Llama 3.1 NemoGuard 8B Content Safety (2025) and Phi-4 Mini Reasoning (2026) are frontier reasoning models from NVIDIA AI and Microsoft Research. Llama 3.1 NemoGuard 8B Content Safety ships a 4k-token context window, while Phi-4 Mini Reasoning ships a 128k-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.
Phi-4 Mini Reasoning fits 32x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Content Safety for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 NemoGuard 8B Content Safety | Phi-4 Mini Reasoning |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps |
| Decision fit | Classification | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 NemoGuard 8B Content Safety has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3.1 NemoGuard 8B Content Safety for Classification.
- Phi-4 Mini Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Reasoning for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.1 NemoGuard 8B Content Safety
Unavailable
No complete token price in local provider data
Phi-4 Mini Reasoning
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.1 NemoGuard 8B Content Safety and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
- Phi-4 Mini Reasoning adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Llama 3.1 NemoGuard 8B Content Safety; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-05-16 |
| Context window | 4k | 128k |
| Parameters | 8B | 3.8B |
| Architecture | decoder only | - |
| License | 1 | Proprietary |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Content Safety | Phi-4 Mini Reasoning |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Content Safety | Phi-4 Mini Reasoning |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | 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 reasoning mode: Phi-4 Mini Reasoning. 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 3.1 NemoGuard 8B Content Safety has no token price sourced yet and Phi-4 Mini Reasoning has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 NemoGuard 8B Content Safety when provider fit and broader provider choice are central to the workload. Choose Phi-4 Mini Reasoning when reasoning depth 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 3.1 NemoGuard 8B Content Safety or Phi-4 Mini Reasoning?
Phi-4 Mini Reasoning supports 128k tokens, while Llama 3.1 NemoGuard 8B Content Safety supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.1 NemoGuard 8B Content Safety or Phi-4 Mini Reasoning open source?
Llama 3.1 NemoGuard 8B Content Safety is listed under 1. Phi-4 Mini Reasoning is listed under Proprietary. 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 reasoning mode, Llama 3.1 NemoGuard 8B Content Safety or Phi-4 Mini Reasoning?
Phi-4 Mini Reasoning 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.
Where can I run Llama 3.1 NemoGuard 8B Content Safety and Phi-4 Mini Reasoning?
Llama 3.1 NemoGuard 8B Content Safety is available on NVIDIA NIM. Phi-4 Mini Reasoning is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 NemoGuard 8B Content Safety over Phi-4 Mini Reasoning?
Phi-4 Mini Reasoning fits 32x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Content Safety for tighter calls. If your workload also depends on provider fit, start with Llama 3.1 NemoGuard 8B Content Safety; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Reasoning.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.