Llama 3.3 Nemotron Super 49B v1 vs Phi-4 Mini Flash Reasoning
Llama 3.3 Nemotron Super 49B v1 (2025) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from NVIDIA AI and Microsoft Research. Llama 3.3 Nemotron Super 49B v1 ships a 128k-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 is safer overall; choose Llama 3.3 Nemotron Super 49B v1 when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.3 Nemotron Super 49B v1 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps |
| Decision fit | Long context | Long context |
| Context window | 128k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags Llama 3.3 Nemotron Super 49B v1 for Long context.
- 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 3.3 Nemotron Super 49B v1
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 | 2025-06-01 | 2025-12-01 |
| Context window | 128k | 128k |
| Parameters | 49B | 3.8B |
| Architecture | Decoder Only | Decoder Only |
| License | NVIDIA Open Model | MITOSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Llama 3.3 Nemotron Super 49B v1 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.3 Nemotron Super 49B v1 | 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
- Llama 3.3 Nemotron Super 49B v1 vs Magistral Small 2506
- Llama 3.1 Nemotron 70B Reward vs Phi-4 Mini Flash Reasoning
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- Phi-4 Mini Flash Reasoning vs Qwen3.5-9B
- Together AI - Gemma 3n-e4B vs Phi-4 Mini Flash Reasoning
- Gemma 2 9B SahabatAI Instruct vs Phi-4 Mini Flash Reasoning
- ByteDance Doubao Seed 2.0 Pro vs Phi-4 Mini Flash Reasoning
Popular comparisons for Llama 3.3 Nemotron Super 49B v1
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- Llama 3.3 Nemotron Super 49B v1 vs Llama 3 Swallow 70B Instruct
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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.