NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Analysis Summary
NVIDIA's Llama 3.3 Nemotron Super 49B V1.5 is a mid-tier open-ecosystem model with an intelligence index of 18.5 and a coding index of just 9.4. Its agentic index of 26.9 is more competitive, and MMLU Pro at 0.785 shows reasonable general knowledge. Tool use and function calling are supported.
For businesses, the weak coding score limits its use in software engineering or technical automation. Long-context reliability is very low at 0.17, which restricts its usefulness for document-heavy tasks. It is better suited to general Q&A, moderate reasoning tasks, and lightweight agentic workflows where coding is not required.
Flat pricing at $0.40 per million tokens for both input and output is straightforward and cost-effective for the capability level. Teams looking for a budget-friendly general assistant with basic tool use may find it adequate, but most business workloads will be better served by models with stronger coding and context handling.
Assessed June 9, 2026
Editorial notes
NVIDIA Llama 3.3 Nemotron Super 49B V1.5 offers moderate reasoning and agentic capability at a flat $0.40/M rate, but coding performance is weak and long-context reliability is low.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 compares
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 ranks #191 of 378 AI models we track for overall intelligence, #248 of 315 for coding, #150 of 289 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.40 per million input tokens it is cheaper than 38% of comparable models.
About 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 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 professional 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 | $0.40 | $0.000400 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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).
Is NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 good for coding?
On our coding benchmark index, NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 ranks #248 of 315 models, placing it in the broader range of the field for code generation and debugging.
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.
