NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Analysis Summary
NVIDIA's Llama 3.3 Nemotron Super 49B V1.5 is a text model with a 131,072-token context window and support for tool use and function calling. Its measured intelligence index is 12.2, and the supplied data does not include coding or agentic benchmark results. That leaves limited evidence for estimating its performance on complex reasoning or autonomous tasks.
The low listed token prices and tool support may make it worth testing for constrained internal workflows, especially where cost and self-directed tool interactions are important. But the available evidence does not support placing it on demanding client tasks without validation. It should be treated as a budget candidate for narrow, well-defined work, with human review and task-specific testing, rather than a general-purpose production model.
Assessed September 23, 2026
Editorial notes
Llama 3.3 Nemotron Super 49B V1.5 supports tool use and function calling, with 131K context and low listed pricing, but its measured intelligence index is limited.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Llama 3.3 Nemotron Super 49B V1.5 supports tool use and function calling, with 131K context and low listed pricing, but its measured intelligence index is limited.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 compares
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 ranks #205 of 447 AI models we track for overall intelligence. Its 131K-token context window is larger than 49% of the models we list. At $0.40 per million input tokens it is cheaper than 38% 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.
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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 733 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.