Llama 3.3 Nemotron Super 49B v1 vs Nemotron Mini 4B Instruct
Llama 3.3 Nemotron Super 49B v1 (2025) and Nemotron Mini 4B Instruct (2024) are compact production models from NVIDIA AI. Llama 3.3 Nemotron Super 49B v1 ships a 128k-token context window, while Nemotron Mini 4B Instruct ships a 4k-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.
Llama 3.3 Nemotron Super 49B v1 fits 32x more tokens; pick it for long-context work and Nemotron Mini 4B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.3 Nemotron Super 49B v1 | Nemotron Mini 4B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Long context | General |
| Context window | 128k | 4k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.3 Nemotron Super 49B v1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Llama 3.3 Nemotron Super 49B v1 for Long context.
- Use Nemotron Mini 4B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
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
Nemotron Mini 4B Instruct
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.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-01 | 2024-08-01 |
| Context window | 128k | 4k |
| Parameters | 49B | 4B |
| Architecture | Decoder Only | Decoder Only |
| License | NVIDIA Open Model | NVIDIA Open Model |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.3 Nemotron Super 49B v1 | Nemotron Mini 4B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.3 Nemotron Super 49B v1 | Nemotron Mini 4B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| 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.
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Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.