NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Analysis Summary
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 sits in the Efficient tier on our leaderboard, ranked #177 of 557 published models on overall intelligence. At $0.100 input and $0.400 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use, function calling, and reasoning.
Editorial notes
NVIDIA Llama 3.3 Nemotron Super 49B V1.5 offers very low pricing and tool use, but its intelligence and coding indices are limited, with a particularly weak coding score of 9.4.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Metaās Llama-3.3-70B-Instruct with a 128K context. Itās post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
nvidia/llama-3.3-nemotron-super-49b-v1.5
|
| Provider | nvidia |
| Release Date | October 10, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
