NVIDIA, open weights

# Nvidia Llama 3.3 Nemotron Super 49b v1.5

> Nvidia Llama 3.3 Nemotron Super 49b v1.5 by NVIDIA, released July 2025. Ranked #151 of 354 with a Noometry Index of 40.3. API: $0.40 in / $0.40 out per M tokens. 131K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5
- Last updated: 2026-10-10
- Title: Nvidia Llama 3.3 Nemotron Super 49b v1.5 Benchmarks, Price & Rank (October 2026)

Nvidia Llama 3.3 Nemotron Super 49b v1.5 by NVIDIA ranks 151st of 354 ranked models on the Noometry Index as of October 2026, with a score of 40.3. Its strongest category is reasoning, where it ranks 128th. API pricing starts at $0.40 per million input tokens and $0.40 per million output tokens, with a 131K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #151 of 354
- **Index score:** 40.3
- **Evidence:** Confirmed 12 results
- **Provider:** [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia)
- **Released:** July 25, 2025
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 131K
- **Max output:** 131K
- **Input price:** $0.40 / M
- **Output price:** $0.40 / M
- **Blended price:** $0.40 / M
- **Output speed:** Not measured
- **Value:** #60 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text

## Category scores

Each category score combines every public result we have in that category.

Nvidia Llama 3.3 Nemotron Super 49b v1.5 category scores

1.  Coding 39.8
2.  Reasoning 26.8
3.  Math 38.2
4.  Knowledge 36.7
5.  Multilingual 45.5
6.  Instruction Following 68.6
7.  Long Context 40.0
8.  Writing & Preference 53.1
9.  020406080

Nvidia Llama 3.3 Nemotron Super 49b v1.5 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 39.8 | #154 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 26.8 | #128 | 1 |
| [Math](https://noometry.com/best/math) | 38.2 | #141 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 36.7 | #165 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 45.5 | #168 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 68.6 | #188 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 40.0 | #164 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 53.1 | #159 | 3 |

## Strengths and weaknesses

Categories where Nvidia Llama 3.3 Nemotron Super 49b v1.5 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Nvidia Llama 3.3 Nemotron Super 49b v1.5: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 26.8 | +3.2 | #128 of 350, top 37% |
| [Math](https://noometry.com/best/math) | 38.2 | +1.7 | #141 of 327, top 44% |
| [Coding](https://noometry.com/best/coding) | 39.8 | +1.0 | #154 of 340, top 46% |

### Weakest categories

Nvidia Llama 3.3 Nemotron Super 49b v1.5: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Instruction Following](https://noometry.com/best/instruction-following) | 68.6 | −2.7 | #188 of 305, top 62% |
| [Multilingual](https://noometry.com/best/multilingual) | 45.5 | −1.9 | #168 of 297, top 57% |
| [Long Context](https://noometry.com/best/long-context) | 40.0 | −1.0 | #164 of 296, top 56% |

## Closest competitors

The models ranked just above and below Nvidia Llama 3.3 Nemotron Super 49b v1.5. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Nvidia Llama 3.3 Nemotron Super 49b v1.5
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | #147 | 40.6 | $0.0875 | — | [Compare](https://noometry.com/compare/nemotron-3-nano-30b-a3b-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |
| [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | #148 | 40.5 | $0.11 | — | [Compare](https://noometry.com/compare/granite-4-2-8b-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |
| [Step 3](https://noometry.com/models/step-3) | #149 | 40.5 | — | 7 | [Compare](https://noometry.com/compare/nvidia-llama-3-3-nemotron-super-49b-v1-5-vs-step-3) |
| [MiniMax M1](https://noometry.com/models/minimax-m1) | #150 | 40.3 | $0.96 | — | [Compare](https://noometry.com/compare/minimax-m1-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |
| [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) | #152 | 40.2 | $3 | 50 | [Compare](https://noometry.com/compare/mistral-medium-3-5-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |
| [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | #153 | 40.1 | $0.17 | — | [Compare](https://noometry.com/compare/nemotron-3-super-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |
| [Llama 3.3 Nemotron 49b Super v1](https://noometry.com/models/llama-3-3-nemotron-49b-super-v1) | #154 | 40.1 | — | — | [Compare](https://noometry.com/compare/llama-3-3-nemotron-49b-super-v1-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |
| [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | #155 | 40.0 | $0.0875 | — | [Compare](https://noometry.com/compare/nemotron-3-5-lightning-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1355 | #171 of 294, top 59% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1336 | #167 of 297, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1392 | #134 of 285, top 48% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1330 | #165 of 273, top 61% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1316 | #168 of 297, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1300 | #122 of 211, top 58% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1332 | #158 of 283, top 56% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1299 | #181 of 298, top 61% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1315 | #175 of 291, top 61% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Nvidia Llama 3.3 Nemotron Super 49b v1.5 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1338 | #167 of 297, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1307 | #161 of 295, top 55% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1334 | #170 of 295, top 58% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Nvidia Llama 3.3 Nemotron Super 49b v1.5 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [deepinfra](https://deepinfra.com/models) | $0.40 | $0.40 | — | 2026-10-10 |

[All NVIDIA API prices →](https://noometry.com/llm-pricing/nvidia) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Nvidia Llama 3.3 Nemotron Super 49b v1.5

-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs MiniMax M1](https://noometry.com/compare/minimax-m1-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Mistral Medium 3.5](https://noometry.com/compare/mistral-medium-3-5-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Step 3](https://noometry.com/compare/nvidia-llama-3-3-nemotron-super-49b-v1-5-vs-step-3)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Nemotron 3 Super](https://noometry.com/compare/nemotron-3-super-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Granite 4.2 8B](https://noometry.com/compare/granite-4-2-8b-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Llama 3.3 Nemotron 49b Super v1](https://noometry.com/compare/llama-3-3-nemotron-49b-super-v1-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Qwen3.8 Max](https://noometry.com/compare/nvidia-llama-3-3-nemotron-super-49b-v1-5-vs-qwen3-8-max)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)
-   [Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-nvidia-llama-3-3-nemotron-super-49b-v1-5)

## Other NVIDIA models

-   [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra)42.5
-   [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b)40.6
-   [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super)40.1
-   [Llama 3.3 Nemotron 49b Super v1](https://noometry.com/models/llama-3-3-nemotron-49b-super-v1)40.1
-   [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning)40.0
-   [Llama 3.1 Nemotron 70b Instruct](https://noometry.com/models/llama-3-1-nemotron-70b-instruct)37.6
-   [Llama 3.1 Nemotron Ultra 253b v1](https://noometry.com/models/llama-3-1-nemotron-ultra-253b-v1)36.7
-   [Llama 3.1 Nemotron 51b Instruct](https://noometry.com/models/llama-3-1-nemotron-51b-instruct)35.9

## Frequently asked questions

### How good is Nvidia Llama 3.3 Nemotron Super 49b v1.5?

Nvidia Llama 3.3 Nemotron Super 49b v1.5 by NVIDIA ranks 151st of 354 ranked models on the Noometry Index as of October 2026, with a score of 40.3. Its strongest category is reasoning, where it ranks 128th. API pricing starts at $0.40 per million input tokens and $0.40 per million output tokens, with a 131K-token context window.

### 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 on deepinfra.

### What is Nvidia Llama 3.3 Nemotron Super 49b v1.5's context window?

Nvidia Llama 3.3 Nemotron Super 49b v1.5 accepts up to 131K tokens of input and can write up to 131K tokens in one response.

### Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 open source?

Yes. Nvidia Llama 3.3 Nemotron Super 49b v1.5's weights are downloadable; check the license for commercial terms.

### What are Nvidia Llama 3.3 Nemotron Super 49b v1.5's strengths and weaknesses?

Relative to other ranked models, Nvidia Llama 3.3 Nemotron Super 49b v1.5 places best in reasoning, math, coding and lowest in instruction following, multilingual, long context.

### What is Nvidia Llama 3.3 Nemotron Super 49b v1.5 best at?

Its best category is reasoning, where it ranks 128th on Noometry.

### Cite this page

Noometry. (2026). Nvidia Llama 3.3 Nemotron Super 49b v1.5 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/nvidia-llama-3-3-nemotron-super-49b-v1-5.md).