Llama 3.1 Nemotron Nano 4B v1.1 vs Phi-4 Mini Flash Reasoning
Llama 3.1 Nemotron Nano 4B v1.1 (2025) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from NVIDIA AI and Microsoft Research. Llama 3.1 Nemotron Nano 4B v1.1 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 Nemotron Nano 4B v1.1 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Nemotron Nano 4B v1.1 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps |
| Decision fit | General | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Llama 3.1 Nemotron Nano 4B v1.1 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- 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 Nemotron Nano 4B v1.1
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 | 2025-04-01 | 2025-12-01 |
| Context window | 4k | 128k |
| Parameters | 4B | 3.8B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | MITOSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Llama 3.1 Nemotron Nano 4B v1.1 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 Nemotron Nano 4B v1.1 | 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.