Side-by-side analysis of Nvidia Llama 3 3 Nemotron Super 49b V1 5, Nvidia Nemotron 3 Nano 30b A3b Free across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Nvidia Llama 3 3 Nemotron Super 49b V1 5, Nvidia Nemotron 3 Nano 30b A3b Free across performance, benchmarks, capabilities, and infrastructure requirements.
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and multi-turn chat, followed by multiple RL stages; Reward-aware Preference Optimization (RPO) for alignment, RL with Verifiable Rewards (RLVR) for step-wise reasoning, and iterative DPO to refine tool-use behavior.
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.
| Specification | Llama 3.3 Nemotron Super 49B V1.5 | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| Provider | NVIDIA | NVIDIA |
| Parameters | 49B | 30B |
| Context window | 131K | 256K |
| Max output | — | — |
| Input modalities | text | text |
| Output modalities | text | text |
| License | other | — |
| Model type | chat | chat |
| Capability | Llama 3.3 Nemotron Super 49B V1.5 | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| function_calling | Yes | — |
| json_mode | Yes | — |
| reasoning | Yes | — |
| streaming | Yes | — |
| text_generation | Yes | — |
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