Context Window
—
Input Price/1M
$0.10
Output Price/1M
$0.40
Parameters
—
Speed
49 tok/s
Latency (TTFT)
287ms
Llama Nemotron Super 49B v1.5 (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 4.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 29.0 | 100.0 | — |
| SciCode | 24.0 | 100.0 | — |
| AA Coding Index | 10.5 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 69.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 22.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 8.0 | 100.0 | — |
| AIME 2025 | 8.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 14.6 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 48.0 | 100.0 | — |
| IFBench | 33.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 25.0 | 100.0 | — |
Llama Nemotron Super 49B v1.5 (Non-reasoning) is an AI model developed by NVIDIA, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via NVIDIA's cloud API.
Llama Nemotron Super 49B v1.5 (Non-reasoning) is usage-based, priced at $0.1/1M input tokens and $0.4/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Llama Nemotron Super 49B v1.5 (Non-reasoning) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Llama Nemotron Super 49B v1.5 (Non-reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Llama Nemotron Super 49B v1.5 (Non-reasoning) competes directly with similarly capable models. NVIDIA competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Llama Nemotron Super 49B v1.5 (Non-reasoning) is an AI model developed by NVIDIA. It is a text model.
Llama Nemotron Super 49B v1.5 (Non-reasoning) costs $0.1/1M input tokens and $0.4/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Llama Nemotron Super 49B v1.5 (Non-reasoning) scored: Terminal-Bench Hard: 4/100, LiveCodeBench: 29/100, SciCode: 24/100. See the full table above for a detailed comparison.
No, Llama Nemotron Super 49B v1.5 (Non-reasoning) is a proprietary model from NVIDIA. It is available via cloud API. For open source alternatives, check our open source model ranking.
Llama Nemotron Super 49B v1.5 (Non-reasoning) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →