Llama 3.1 NemoGuard 8B Topic Control vs Phi-4 Mini Flash Reasoning
Llama 3.1 NemoGuard 8B Topic Control (2025) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from NVIDIA AI and Microsoft Research. Llama 3.1 NemoGuard 8B Topic Control ships a 4k-token context window, while Phi-4 Mini Flash 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 Flash Reasoning fits 32x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Topic Control for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 NemoGuard 8B Topic Control | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps |
| Decision fit | Classification | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags Llama 3.1 NemoGuard 8B Topic Control for Classification.
- Phi-4 Mini Flash Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi-4 Mini Flash Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Flash 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 Topic Control
Unavailable
No complete token price in local provider data
Phi-4 Mini Flash 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
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Phi-4 Mini Flash Reasoning adds Reasoning in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-12-01 |
| Context window | 4k | 128k |
| Parameters | 8B | 3.8B |
| Architecture | Decoder Only | Decoder Only |
| License | Open Weights | MITOSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | - | Commercial use: permitted |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Topic Control | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Topic Control | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| JSON / 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 scores are currently available for this pair.
Continue comparing
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Popular comparisons for Phi-4 Mini Flash Reasoning
- Phi-4 Mini Flash Reasoning vs Qwen3.5-9B
- Phi-4 Mini Flash Reasoning vs Together AI - Gemma 3n-e4B
- Phi-4 Mini Flash Reasoning vs Gemma 2 9B SahabatAI Instruct
- Phi-4 Mini Flash Reasoning vs ByteDance Doubao Seed 2.0 Pro
- Phi-4 Mini Flash Reasoning vs Llama 3 8B Instruct
- Phi-4 Mini Flash Reasoning vs Llama 3.2 1B Instruct
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.