NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Analysis Summary
Llama 3.3 Nemotron Super 49B V1.5 is an NVIDIA text model with a 131K context window, tool use, and function calling. Equal listed input and output pricing supports predictable automation costs, while the model's size and technical orientation make it relevant to practical developer and workflow tasks. The supplied intelligence result is limited, and no detailed coding or agentic benchmarks are included in this record.
It can serve supervised coding assistance, structured extraction, internal tools, and routine API-connected operations. The context is large enough for many briefs and documentation tasks, but there is insufficient evidence to recommend it for complex agents or high-stakes client-facing reasoning. Consider it for controlled, cost-sensitive deployments with clear validation, especially where predictable pricing and function calling matter.
Assessed August 9, 2026
Editorial notes
Llama 3.3 Nemotron Super 49B V1.5 provides tool use, function calling, a 131K context, and balanced low pricing. Its limited intelligence result makes it better for supervised technical automation than complex reasoning.
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DFO Verdict
Llama 3.3 Nemotron Super 49B V1.5 provides tool use, function calling, a 131K context, and balanced low pricing. Its limited intelligence result makes it better for supervised technical automation than complex reasoning.
How NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 compares
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 ranks #247 of 427 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.40 per million input tokens it is cheaper than 42% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $0.40 | $0.000400 |
What would NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
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..
Frequently asked questions about NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
How much does NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 cost?
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 costs $0.40 per million input tokens and $0.40 per million output tokens.
What is the context window of NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 has a context window of 131,072 tokens (131K).
What can NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 do?
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 supports tool use and function calling.
Who created NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 is developed by NVIDIA and was released on October 10, 2025.