NVIDIA
Llama Nemotron Super 49B
Open weightopen-weightNVIDIA's Llama-based Nemotron Super 49B for high-accuracy reasoning, agentic tasks, and RAG workflows.
Capability profile
Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.
Benchmark summary
Top-performing open model for agentic and reasoning tasks based on Llama architecture.
No benchmark series is attached to this model yet. Source links and product metadata are available below.
Strengths
- • Strong reasoning
- • Llama architecture compatibility
- • Good agentic capability
Trade-offs
- • Requires significant GPU resources
Crawlable benchmark analysis
Llama Nemotron Super 49B is positioned as an enterprise open model with published scores that emphasize its practical fit for buyers evaluating the entry.
Published scores highlight reasoning 84/100, coding 82/100, enterprise readiness 82/100, vision 50/100, speed 70/100, and safety 78/100.
Pricing is not fully published for this entry. With a context window of 131,072 tokens, it supports large-document analysis and retrieval workflows.
Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.
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